{"id":369,"date":"2023-10-10T23:24:01","date_gmt":"2023-10-10T23:24:01","guid":{"rendered":"http:\/\/localhost\/xrcenter\/?page_id=369"},"modified":"2025-12-02T13:28:17","modified_gmt":"2025-12-02T13:28:17","slug":"research","status":"publish","type":"page","link":"https:\/\/xrcenter.project.uoi.gr\/el\/research\/","title":{"rendered":"\u0388\u03c1\u03b5\u03c5\u03bd\u03b1"},"content":{"rendered":"<style>.elementor-369 .elementor-element.elementor-element-057d51a{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--overflow:hidden;--overlay-opacity:0.5;--padding-top:240px;--padding-bottom:120px;--padding-left:0px;--padding-right:0px;}.elementor-369 .elementor-element.elementor-element-057d51a:not(.elementor-motion-effects-element-type-background), .elementor-369 .elementor-element.elementor-element-057d51a > .elementor-motion-effects-container > .elementor-motion-effects-layer{background-color:transparent;background-image:radial-gradient(at bottom right, #3758FF7D 0%, #030510 64%);}.elementor-369 .elementor-element.elementor-element-057d51a::before, .elementor-369 .elementor-element.elementor-element-057d51a > .elementor-background-video-container::before, .elementor-369 .elementor-element.elementor-element-057d51a > .e-con-inner > .elementor-background-video-container::before, .elementor-369 .elementor-element.elementor-element-057d51a > .elementor-background-slideshow::before, .elementor-369 .elementor-element.elementor-element-057d51a > .e-con-inner > .elementor-background-slideshow::before, .elementor-369 .elementor-element.elementor-element-057d51a > .elementor-motion-effects-container > .elementor-motion-effects-layer::before{--background-overlay:'';background-image:url(\"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/noise.png\");background-position:center center;background-repeat:repeat;background-size:14% auto;}.elementor-369 .elementor-element.elementor-element-697da28{--display:flex;--justify-content:flex-end;--padding-top:10px;--padding-bottom:10px;--padding-left:10px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text{text-align:center;}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .normal-text{font-family:var( --e-global-typography-secondary-font-family ), Sans-serif;font-size:var( --e-global-typography-secondary-font-size );font-weight:var( --e-global-typography-secondary-font-weight );text-transform:var( --e-global-typography-secondary-text-transform );font-style:var( --e-global-typography-secondary-font-style );text-decoration:var( --e-global-typography-secondary-text-decoration );line-height:var( --e-global-typography-secondary-line-height );letter-spacing:var( --e-global-typography-secondary-letter-spacing );}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .dynamic-text{font-family:var( --e-global-typography-secondary-font-family ), Sans-serif;font-size:var( --e-global-typography-secondary-font-size );font-weight:var( --e-global-typography-secondary-font-weight );text-transform:var( --e-global-typography-secondary-text-transform );font-style:var( --e-global-typography-secondary-font-style );text-decoration:var( --e-global-typography-secondary-text-decoration );line-height:var( --e-global-typography-secondary-line-height );letter-spacing:var( --e-global-typography-secondary-letter-spacing );}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .dynamic-wrapper.style-gradient:not(.typing-delete) .dynamic-text, .elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .dynamic-wrapper.style-gradient:not(.typing-delete) .dynamic-text .dynamic-text-letter{background-color:transparent;background-image:linear-gradient(76deg, #FFFFFF 52%, #3D9EEBFC 100%);}.elementor-369 .elementor-element.elementor-element-7ff5ae2 > .elementor-widget-container{margin:-30px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-7ff5ae2{z-index:0;}.elementor-369 .elementor-element.elementor-element-0244882{text-align:center;font-family:var( --e-global-typography-85a62b1-font-family ), Sans-serif;font-size:var( --e-global-typography-85a62b1-font-size );font-weight:var( --e-global-typography-85a62b1-font-weight );text-transform:var( --e-global-typography-85a62b1-text-transform );font-style:var( --e-global-typography-85a62b1-font-style );text-decoration:var( --e-global-typography-85a62b1-text-decoration );line-height:var( --e-global-typography-85a62b1-line-height );letter-spacing:var( --e-global-typography-85a62b1-letter-spacing );word-spacing:var( --e-global-typography-85a62b1-word-spacing );color:var( --e-global-color-e9a173a );z-index:1;}.elementor-369 .elementor-element.elementor-element-0244882 > .elementor-widget-container{padding:0% 25% 0% 25%;}.elementor-369 .elementor-element.elementor-element-3d63588{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--padding-top:0px;--padding-bottom:140px;--padding-left:0px;--padding-right:0px;}.elementor-369 .elementor-element.elementor-element-7ee6e68{--display:flex;--margin-top:0px;--margin-bottom:0px;--margin-left:0px;--margin-right:40px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list{--space-between:calc(15px\/2);--icon-size:34px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item:not(:first-child){padding-top:calc(15px\/2);}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item:not(:last-child){padding-bottom:calc(15px\/2);}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-icon-inner{background-color:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-icon i{color:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-icon svg{fill:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-icon-box .feature-list-icon{height:34px;width:34px;font-size:20px;padding:15px 15px 15px 15px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box{margin:30px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box .feature-list-title{margin-bottom:10px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box .feature-list-title, .elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box .feature-list-title a{color:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box .feature-list-content{color:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-ff21a11{--display:flex;--padding-top:10px;--padding-bottom:10px;--padding-left:60px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled.sticky-pinned.jkit-sticky-element-on--down{top:0px;}.elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled.sticky-pinned.jkit-sticky-element-on--both{top:0px;}#wpadminbar ~ .elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled.sticky-pinned.jkit-sticky-element-on--down, #wpadminbar ~ * .elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled.sticky-pinned.jkit-sticky-element-on--down{top:calc(0px + var(--wpadminbar-height, 0px));}#wpadminbar ~ .elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled.sticky-pinned.jkit-sticky-element-on--both, #wpadminbar ~ * .elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled.sticky-pinned.jkit-sticky-element-on--both{top:calc(0px + var(--wpadminbar-height, 0px));}.elementor-369 .elementor-element.elementor-element-ff21a11.elementor-element.e-flex.jkit-sticky-element--enabled{z-index:100;}.elementor-369 .elementor-element.elementor-element-ccea8d3{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--border-radius:20px 20px 20px 20px;--margin-top:0px;--margin-bottom:40px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-ccea8d3:not(.elementor-motion-effects-element-type-background), .elementor-369 .elementor-element.elementor-element-ccea8d3 > .elementor-motion-effects-container > .elementor-motion-effects-layer{background-image:url(\"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/image-20.png\");background-position:7% 59px;background-repeat:no-repeat;background-size:contain;}.elementor-369 .elementor-element.elementor-element-3741180{--display:flex;}.elementor-369 .elementor-element.elementor-element-ec7f282{--spacer-size:360px;}.elementor-369 .elementor-element.elementor-element-ec7f282 > .elementor-widget-container{margin:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-54ecf51{--spacer-size:10px;}.elementor-369 .elementor-element.elementor-element-efc92ca{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--margin-top:50px;--margin-bottom:0px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-d662a2d{--display:flex;}.elementor-369 .elementor-element.elementor-element-bb86687 .elementor-heading-title{color:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-0215d1d{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;}.elementor-369 .elementor-element.elementor-element-c4c142f{--display:flex;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper{margin:0px 0px 30px 0px;border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-4a28204 );border-radius:10px 10px 10px 10px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand{border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-accent );border-radius:10px 10px 10px 10px;box-shadow:0px 0px 8px 0px rgba(54.99999999999997, 156.00000000000023, 255, 0.9882352941176471);}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-family:var( --e-global-typography-94a699f-font-family ), Sans-serif;font-size:var( --e-global-typography-94a699f-font-size );font-weight:var( --e-global-typography-94a699f-font-weight );text-transform:var( --e-global-typography-94a699f-text-transform );font-style:var( --e-global-typography-94a699f-font-style );text-decoration:var( --e-global-typography-94a699f-text-decoration );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 28px 28px 28px;margin-bottom:0px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:after{background-color:#02010100;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::after{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:before{background-color:#1A1F2800;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::before{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{color:var( --e-global-color-text );font-family:var( --e-global-typography-text-font-family ), Sans-serif;font-size:var( --e-global-typography-text-font-size );font-weight:var( --e-global-typography-text-font-weight );text-transform:var( --e-global-typography-text-text-transform );font-style:var( --e-global-typography-text-font-style );text-decoration:var( --e-global-typography-text-text-decoration );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 30px 28px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon{color:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon svg{fill:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon{color:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon svg{fill:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-0ff9079 > .elementor-widget-container{border-radius:8px 8px 8px 8px;}.elementor-369 .elementor-element.elementor-element-154eadb{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--margin-top:50px;--margin-bottom:0px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-2916146{--display:flex;}.elementor-369 .elementor-element.elementor-element-452c8ae .elementor-heading-title{color:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-a2420ff{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;}.elementor-369 .elementor-element.elementor-element-b825b8b{--display:flex;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper{margin:0px 0px 30px 0px;border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-4a28204 );border-radius:10px 10px 10px 10px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper.expand{border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-accent );border-radius:10px 10px 10px 10px;box-shadow:0px 0px 8px 0px rgba(54.99999999999997, 156.00000000000023, 255, 0.9882352941176471);}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-family:var( --e-global-typography-94a699f-font-family ), Sans-serif;font-size:var( --e-global-typography-94a699f-font-size );font-weight:var( --e-global-typography-94a699f-font-weight );text-transform:var( --e-global-typography-94a699f-text-transform );font-style:var( --e-global-typography-94a699f-font-style );text-decoration:var( --e-global-typography-94a699f-text-decoration );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 28px 28px 28px;margin-bottom:0px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:after{background-color:#02010100;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::after{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:before{background-color:#1A1F2800;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::before{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-expand .card-body{color:var( --e-global-color-text );font-family:var( --e-global-typography-text-font-family ), Sans-serif;font-size:var( --e-global-typography-text-font-size );font-weight:var( --e-global-typography-text-font-weight );text-transform:var( --e-global-typography-text-text-transform );font-style:var( --e-global-typography-text-font-style );text-decoration:var( --e-global-typography-text-text-decoration );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 30px 28px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon{color:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon svg{fill:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon{color:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon svg{fill:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-fbda5bc > .elementor-widget-container{border-radius:8px 8px 8px 8px;}.elementor-369 .elementor-element.elementor-element-efcb095{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--margin-top:50px;--margin-bottom:0px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-e4a639e{--display:flex;}.elementor-369 .elementor-element.elementor-element-3dc01aa .elementor-heading-title{color:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-c5e82ae{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;}.elementor-369 .elementor-element.elementor-element-54106f5{--display:flex;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper{margin:0px 0px 30px 0px;border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-4a28204 );border-radius:10px 10px 10px 10px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand{border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-accent );border-radius:10px 10px 10px 10px;box-shadow:0px 0px 8px 0px rgba(54.99999999999997, 156.00000000000023, 255, 0.9882352941176471);}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-family:var( --e-global-typography-94a699f-font-family ), Sans-serif;font-size:var( --e-global-typography-94a699f-font-size );font-weight:var( --e-global-typography-94a699f-font-weight );text-transform:var( --e-global-typography-94a699f-text-transform );font-style:var( --e-global-typography-94a699f-font-style );text-decoration:var( --e-global-typography-94a699f-text-decoration );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 28px 28px 28px;margin-bottom:0px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:after{background-color:#02010100;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::after{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:before{background-color:#1A1F2800;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::before{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{color:var( --e-global-color-text );font-family:var( --e-global-typography-text-font-family ), Sans-serif;font-size:var( --e-global-typography-text-font-size );font-weight:var( --e-global-typography-text-font-weight );text-transform:var( --e-global-typography-text-text-transform );font-style:var( --e-global-typography-text-font-style );text-decoration:var( --e-global-typography-text-text-decoration );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 30px 28px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon{color:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon svg{fill:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon{color:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon svg{fill:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-a2f9c86 > .elementor-widget-container{border-radius:8px 8px 8px 8px;}.elementor-369 .elementor-element.elementor-element-07d01be{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;--margin-top:50px;--margin-bottom:0px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-e6f4048{--display:flex;}.elementor-369 .elementor-element.elementor-element-8691ddd .elementor-heading-title{color:var( --e-global-color-fa3c2ed );}.elementor-369 .elementor-element.elementor-element-2a6e484{--display:flex;--flex-direction:row;--container-widget-width:calc( ( 1 - var( --container-widget-flex-grow ) ) * 100% );--container-widget-height:100%;--container-widget-flex-grow:1;--container-widget-align-self:stretch;--flex-wrap-mobile:wrap;--align-items:stretch;--gap:10px 10px;--row-gap:10px;--column-gap:10px;}.elementor-369 .elementor-element.elementor-element-2d7bcd0{--display:flex;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper{margin:0px 0px 30px 0px;border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-4a28204 );border-radius:10px 10px 10px 10px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand{border-style:solid;border-width:1px 1px 1px 1px;border-color:var( --e-global-color-accent );border-radius:10px 10px 10px 10px;box-shadow:0px 0px 8px 0px rgba(54.99999999999997, 156.00000000000023, 255, 0.9882352941176471);}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-family:var( --e-global-typography-94a699f-font-family ), Sans-serif;font-size:var( --e-global-typography-94a699f-font-size );font-weight:var( --e-global-typography-94a699f-font-weight );text-transform:var( --e-global-typography-94a699f-text-transform );font-style:var( --e-global-typography-94a699f-font-style );text-decoration:var( --e-global-typography-94a699f-text-decoration );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 28px 28px 28px;margin-bottom:0px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:after{background-color:#02010100;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::after{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button{color:var( --e-global-color-primary );border-style:none;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header:not(.background-gradient) .card-header-button, .elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient:before{background-color:#1A1F2800;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper:not(.expand) .card-header .card-header-button, .elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header.background-gradient::before{border-radius:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{color:var( --e-global-color-text );font-family:var( --e-global-typography-text-font-family ), Sans-serif;font-size:var( --e-global-typography-text-font-size );font-weight:var( --e-global-typography-text-font-weight );text-transform:var( --e-global-typography-text-text-transform );font-style:var( --e-global-typography-text-font-style );text-decoration:var( --e-global-typography-text-text-decoration );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 30px 28px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon{color:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .active-icon svg{fill:var( --e-global-color-accent );}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon{color:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button [class*=\"icon-group\"] .normal-icon svg{fill:var( --e-global-color-primary );}.elementor-369 .elementor-element.elementor-element-b97ccf7 > .elementor-widget-container{border-radius:8px 8px 8px 8px;}@media(max-width:1024px){.elementor-369 .elementor-element.elementor-element-057d51a{--padding-top:200px;--padding-bottom:100px;--padding-left:10px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text{text-align:center;}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .normal-text{font-size:var( --e-global-typography-secondary-font-size );line-height:var( --e-global-typography-secondary-line-height );letter-spacing:var( --e-global-typography-secondary-letter-spacing );}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .dynamic-text{font-size:var( --e-global-typography-secondary-font-size );line-height:var( --e-global-typography-secondary-line-height );letter-spacing:var( --e-global-typography-secondary-letter-spacing );}.elementor-369 .elementor-element.elementor-element-7ff5ae2 > .elementor-widget-container{margin:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-0244882{font-size:var( --e-global-typography-85a62b1-font-size );line-height:var( --e-global-typography-85a62b1-line-height );letter-spacing:var( --e-global-typography-85a62b1-letter-spacing );word-spacing:var( --e-global-typography-85a62b1-word-spacing );}.elementor-369 .elementor-element.elementor-element-0244882 > .elementor-widget-container{margin:0px 0px 0px 0px;padding:0% 5% 0% 5%;}.elementor-369 .elementor-element.elementor-element-3d63588{--padding-top:0px;--padding-bottom:80px;--padding-left:10px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-7ee6e68{--margin-top:0px;--margin-bottom:0px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box{margin:20px;}.elementor-369 .elementor-element.elementor-element-ff21a11{--justify-content:flex-start;--margin-top:40px;--margin-bottom:30px;--margin-left:0px;--margin-right:0px;--padding-top:10px;--padding-bottom:10px;--padding-left:10px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-ccea8d3:not(.elementor-motion-effects-element-type-background), .elementor-369 .elementor-element.elementor-element-ccea8d3 > .elementor-motion-effects-container > .elementor-motion-effects-layer{background-position:0% 0px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 50px 28px 28px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 50px 28px 28px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 50px 28px 28px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 50px 28px 28px;}}@media(max-width:767px){.elementor-369 .elementor-element.elementor-element-057d51a{--padding-top:80px;--padding-bottom:60px;--padding-left:10px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .normal-text{font-size:var( --e-global-typography-secondary-font-size );line-height:var( --e-global-typography-secondary-line-height );letter-spacing:var( --e-global-typography-secondary-letter-spacing );}.elementor-369 .elementor-element.elementor-element-7ff5ae2 .jeg-elementor-kit.jkit-animated-text .animated-text .dynamic-text{font-size:var( --e-global-typography-secondary-font-size );line-height:var( --e-global-typography-secondary-line-height );letter-spacing:var( --e-global-typography-secondary-letter-spacing );}.elementor-369 .elementor-element.elementor-element-0244882{font-size:var( --e-global-typography-85a62b1-font-size );line-height:var( --e-global-typography-85a62b1-line-height );letter-spacing:var( --e-global-typography-85a62b1-letter-spacing );word-spacing:var( --e-global-typography-85a62b1-word-spacing );}.elementor-369 .elementor-element.elementor-element-0244882 > .elementor-widget-container{margin:0px 0px 0px 0px;padding:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-3d63588{--padding-top:0px;--padding-bottom:40px;--padding-left:10px;--padding-right:10px;}.elementor-369 .elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box{margin:10px;}.elementor-369 .elementor-element.elementor-element-ff21a11{--width:100%;--margin-top:0px;--margin-bottom:0px;--margin-left:0px;--margin-right:0px;}.elementor-369 .elementor-element.elementor-element-ccea8d3{--width:100%;}.elementor-369 .elementor-element.elementor-element-ccea8d3:not(.elementor-motion-effects-element-type-background), .elementor-369 .elementor-element.elementor-element-ccea8d3 > .elementor-motion-effects-container > .elementor-motion-effects-layer{background-position:20% 0px;}.elementor-369 .elementor-element.elementor-element-3741180{--width:100%;}.elementor-369 .elementor-element.elementor-element-ec7f282{--spacer-size:300px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 42px 28px 28px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{margin:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-0ff9079 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 28px 28px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 42px 28px 28px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{margin:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-fbda5bc .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 28px 28px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 42px 28px 28px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{margin:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-a2f9c86 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 28px 28px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper .card-header .card-header-button{font-size:var( --e-global-typography-94a699f-font-size );line-height:var( --e-global-typography-94a699f-line-height );letter-spacing:var( --e-global-typography-94a699f-letter-spacing );word-spacing:var( --e-global-typography-94a699f-word-spacing );padding:28px 42px 28px 28px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-wrapper.expand .card-header .card-header-button{margin:0px 0px 0px 0px;}.elementor-369 .elementor-element.elementor-element-b97ccf7 .jeg-elementor-kit.jkit-accordion .card-expand .card-body{font-size:var( --e-global-typography-text-font-size );line-height:var( --e-global-typography-text-line-height );letter-spacing:var( --e-global-typography-text-letter-spacing );padding:0px 28px 28px 28px;}}@media(min-width:768px){.elementor-369 .elementor-element.elementor-element-057d51a{--content-width:100%;}.elementor-369 .elementor-element.elementor-element-3d63588{--content-width:76%;}.elementor-369 .elementor-element.elementor-element-7ee6e68{--width:60%;}.elementor-369 .elementor-element.elementor-element-ff21a11{--width:40%;}.elementor-369 .elementor-element.elementor-element-efc92ca{--content-width:76%;}.elementor-369 .elementor-element.elementor-element-c4c142f{--width:100%;}.elementor-369 .elementor-element.elementor-element-154eadb{--content-width:76%;}.elementor-369 .elementor-element.elementor-element-efcb095{--content-width:76%;}.elementor-369 .elementor-element.elementor-element-07d01be{--content-width:76%;}}@media(max-width:1024px) and (min-width:768px){.elementor-369 .elementor-element.elementor-element-3d63588{--content-width:90%;}.elementor-369 .elementor-element.elementor-element-7ee6e68{--width:100%;}.elementor-369 .elementor-element.elementor-element-ff21a11{--width:100%;}.elementor-369 .elementor-element.elementor-element-efc92ca{--content-width:90%;}.elementor-369 .elementor-element.elementor-element-154eadb{--content-width:90%;}.elementor-369 .elementor-element.elementor-element-efcb095{--content-width:90%;}.elementor-369 .elementor-element.elementor-element-07d01be{--content-width:90%;}}@media (min-width: 1025px) {.elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item { text-align: left; -webkit-box-orient: horizontal; -webkit-box-direction: normal; -ms-flex-direction: row; flex-direction: row; display: -webkit-box; display: -ms-flexbox; display: flex; } }@media (min-width: 1025px) {.elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box { margin-right: 0 !important; margin-top: 0 !important;  margin-bottom: 0 !important; } }@media (min-width: 768px) and (max-width: 1024px) {.elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item { text-align: left; -webkit-box-orient: horizontal; -webkit-box-direction: normal; -ms-flex-direction: row; flex-direction: row; display: -webkit-box; display: -ms-flexbox; display: flex; } }@media (min-width: 768px) and (max-width: 1024px) {.elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box { margin-right: 0 !important; margin-top: 0 !important;  margin-bottom: 0 !important; } }@media (max-width: 767px) {.elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item { text-align: left; -webkit-box-orient: horizontal; -webkit-box-direction: normal; -ms-flex-direction: row; flex-direction: row; display: -webkit-box; display: -ms-flexbox; display: flex; } }@media (max-width: 767px) {.elementor-element.elementor-element-ac23301 .jeg-elementor-kit.jkit-feature-list .feature-list-items .feature-list-item .feature-list-content-box { margin-right: 0 !important; margin-top: 0 !important;  margin-bottom: 0 !important; } }<\/style>\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"369\" class=\"elementor elementor-369\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-057d51a e-flex e-con-boxed e-con e-parent\" data-id=\"057d51a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-697da28 e-con-full e-flex e-con e-child\" data-id=\"697da28\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7ff5ae2 elementor-invisible elementor-widget elementor-widget-jkit_animated_text\" data-id=\"7ff5ae2\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"jkit_animated_text.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div  class=\"jeg-elementor-kit jkit-animated-text jeg_module___69df4d6a8825c\"  data-style=\"none\"><h1 class=\"animated-text\"><span class=\"normal-text style-gradient\"><\/span><span class=\"dynamic-wrapper style-gradient\"><span class=\"dynamic-text\">Explore Our Latest Research <\/span><\/span><span class=\"normal-text style-gradient\"><\/span><\/h1><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0244882 elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"0244882\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;,&quot;_animation_delay&quot;:200}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Full Articles, Papers and\u00a0Conference Papers\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d63588 e-flex e-con-boxed e-con e-parent\" data-id=\"3d63588\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-7ee6e68 e-con-full e-flex e-con e-child\" data-id=\"7ee6e68\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-de601d3 elementor-widget elementor-widget-heading\" data-id=\"de601d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Research Fields<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ac23301 elementor-widget elementor-widget-jkit_feature_list\" data-id=\"ac23301\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"jkit_feature_list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div  class=\"jeg-elementor-kit jkit-feature-list icon-position-left tablet-icon-position-left mobile-icon-position-left jeg_module__1_69df4d6a89dd9\" ><ul class=\"feature-list-items shape-circle shape-view-stacked \"><li class=\"feature-list-item elementor-repeater-item-27ffd8a\">\n\t\t\t\t\n\t\t\t\t<div class=\"feature-list-icon-box\">\n\t\t\t\t\t<div class=\"feature-list-icon-inner\">\n\t\t\t\t\t\t<span class=\"feature-list-icon\">\n\t\t\t\t\t\t\t<a href=\"#medical\"><i aria-hidden=\"true\" class=\"jki jki-right-arrow-7\"><\/i><\/a>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"feature-list-content-box\">\n\t\t\t\t\t<h3 class=\"feature-list-title\"><a href=\"#medical\">Medical Research<\/a><\/h3><p class=\"feature-list-content\">Medical research plays a pivotal role in advancing our understanding of diseases and developing innovative treatments to improve patient outcomes<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/li><li class=\"feature-list-item elementor-repeater-item-a3c70fb\">\n\t\t\t\t\n\t\t\t\t<div class=\"feature-list-icon-box\">\n\t\t\t\t\t<div class=\"feature-list-icon-inner\">\n\t\t\t\t\t\t<span class=\"feature-list-icon\">\n\t\t\t\t\t\t\t<a href=\"#industrial\"><i aria-hidden=\"true\" class=\"jki jki-right-arrow-7\"><\/i><\/a>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"feature-list-content-box\">\n\t\t\t\t\t<h3 class=\"feature-list-title\"><a href=\"#industrial\">Industrial Research<\/a><\/h3><p class=\"feature-list-content\">Industrial research is essential for optimizing production processes, enhancing product quality, and driving innovation in the manufacturing sector<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/li><li class=\"feature-list-item elementor-repeater-item-adf1e25\">\n\t\t\t\t\n\t\t\t\t<div class=\"feature-list-icon-box\">\n\t\t\t\t\t<div class=\"feature-list-icon-inner\">\n\t\t\t\t\t\t<span class=\"feature-list-icon\">\n\t\t\t\t\t\t\t<a href=\"#social\"><i aria-hidden=\"true\" class=\"jki jki-right-arrow-7\"><\/i><\/a>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"feature-list-content-box\">\n\t\t\t\t\t<h3 class=\"feature-list-title\"><a href=\"#social\">Social - Educational Research<\/a><\/h3><p class=\"feature-list-content\">Social and educational research empowers us to explore the dynamics of human behavior and learning, guiding the development of effective educational policies and programs<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/li><li class=\"feature-list-item elementor-repeater-item-ebe679c\">\n\t\t\t\t\n\t\t\t\t<div class=\"feature-list-icon-box\">\n\t\t\t\t\t<div class=\"feature-list-icon-inner\">\n\t\t\t\t\t\t<span class=\"feature-list-icon\">\n\t\t\t\t\t\t\t<a href=\"#comp\"><i aria-hidden=\"true\" class=\"jki jki-right-arrow-7\"><\/i><\/a>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"feature-list-content-box\">\n\t\t\t\t\t<h3 class=\"feature-list-title\"><a href=\"#comp\">Computer Science and Mathematical Modeling<\/a><\/h3><p class=\"feature-list-content\">Computer science and mathematical modeling research endeavors to bridge theoretical concepts with practical applications<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/li><\/ul><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ff21a11 jkit-sticky-element--enabled e-con-full elementor-hidden-tablet elementor-hidden-mobile e-flex jkit-sticky-element-on--down jkit-sticky-position--sticky e-con e-child\" data-id=\"ff21a11\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jkit_sticky_device&quot;:[&quot;desktop&quot;],&quot;jkit_sticky_top_position&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:0,&quot;sizes&quot;:[]}}\">\n\t\t<div class=\"elementor-element elementor-element-ccea8d3 e-con-full e-flex e-con e-child\" data-id=\"ccea8d3\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-3741180 e-con-full e-flex e-con e-child\" data-id=\"3741180\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ec7f282 elementor-widget elementor-widget-spacer\" data-id=\"ec7f282\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54ecf51 elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-spacer\" data-id=\"54ecf51\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-efc92ca e-flex e-con-boxed e-con e-parent\" data-id=\"efc92ca\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-d662a2d e-con-full e-flex e-con e-child\" data-id=\"d662a2d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-531ea8d elementor-widget elementor-widget-menu-anchor\" data-id=\"531ea8d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"medical\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb86687 elementor-widget elementor-widget-heading\" data-id=\"bb86687\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Medical Research<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0215d1d e-con-full e-flex e-con e-child\" data-id=\"0215d1d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-c4c142f e-con-full e-flex e-con e-child\" data-id=\"c4c142f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0ff9079 elementor-widget elementor-widget-jkit_accordion\" data-id=\"0ff9079\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"jkit_accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div  class=\"jeg-elementor-kit jkit-accordion style-default jeg_module__2_69df4d6a8bd9b\" ><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-d3d7d02\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-d3d7d02\" aria-controls=\"expand-d3d7d02\">\n                        <span class=\"title\">Enhanced Alzheimer&#039;s disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-d3d7d02\" style=\"display:none\"><div class=\"card-body\"><p>\u00a0Andreas Miltiadous, Katerina D. Tzimourta, Vasileios Aspiotis, Theodora Afrantou, Markos G. Tsipouras, Nikolaos Giannakeas.<\/p><p><b><i><span class=\"--l --r sentence_highlight\">Description: <\/span><span class=\"--l --r sentence_highlight\">The research focuses on the detection of Alzheimer's disease and frontotemporal dementia through electroencephalographic (EEG) signals. It involves a classification process starting with Independent Component Analysis (ICA) for pre-processing, followed by extraction of time, frequency and complexity features, feature selection based on significance and final classification with Gradient Boosting Decision Trees. <\/span><span class=\"--l --r sentence_highlight\">The system achieved F1 scores: 92.27% for distinguishing dementia from healthy, 83.06% for Alzheimer's disease from healthy, and 80.67% for frontotemporal dementia from healthy.<\/span><\/i><\/b><\/p><p><span class=\"--l sentence_highlight\">Publication: published in the proceedings of the 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10178723\">10.1109\/CBMS58004.2023.00335<\/a><\/span><\/p><p><b><i>\u00a0<\/i><\/b><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-530b0b8\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-530b0b8\" aria-controls=\"expand-530b0b8\">\n                        <span class=\"title\">DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-530b0b8\" style=\"display:none\"><div class=\"card-body\"><p><span class=\"--l --r sentence_highlight\">Tzimourta, Nikolaos Giannakeas, Alexandros T. <\/span><span class=\"--l --r sentence_highlight\">Alexandros Tzallas.<br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">Description: <\/span><span class=\"--l --r sentence_highlight\">This research presents DICE-net, an innovative Dual-Input Convolution Encoder network, for EEG signal classification in Alzheimer's disease (AD) patients. Using data from 36 AD patients, 23 with frontotemporal dementia (FTD), and 29 healthy subjects, the system integrates Convolution, Transformer Encoder, and Feed-Forward layers. <\/span><span class=\"--l --r sentence_highlight\">DICE-net achieved 83.28% accuracy in distinguishing AD patients from healthy subjects (AD-CN) using Leave-One-Subject-Out validation, demonstrating improved generalizability over reference models. <\/span><span class=\"--l --r sentence_highlight\">The study demonstrates the potential of exploiting the characteristics of EEG signals for early diagnosis and possible future extensions to frontotemporal dementia and other types.<\/span><\/p><p><span class=\"--l sentence_highlight\">Published in IEEE Access.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10179900\">10.1109\/ACCESS.2023.3294618<\/a><\/span><\/p><p><strong>Date of Publication:<\/strong> \u00a012 July 2023 \u00a0<span class=\"text-base-md-lh publisher-info-container black-tooltip\"><span class=\"title\">Publisher:\u00a0<\/span>IEEE<\/span><\/p><div class=\"col-6\"><div class=\"u-pb-1\"><div><div><strong>Electronic ISSN:<\/strong>\u00a02169-3536<\/div><\/div><\/div><\/div><div class=\"col-6\"><div class=\"u-pb-1 doc-abstract-publisher\">\u00a0<\/div><\/div><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-7afac7d\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-7afac7d\" aria-controls=\"expand-7afac7d\">\n                        <span class=\"title\"> Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-7afac7d\" style=\"display:none\"><div class=\"card-body\"><p>Andreas Miltiadous, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Konstantinos Kalafatakis.<\/p><p><span class=\"--l --r sentence_highlight\">Description: <\/span><span class=\"--l --r sentence_highlight\">This systematic review examines the use of machine learning algorithms for epilepsy detection based on published EEG databases. <\/span><span class=\"--l --r sentence_highlight\">It presents signal processing and classification methodologies applied to different databases, focusing on the importance of automating diagnosis due to the time-consuming nature of manual analysis. <\/span><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">From<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">the<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">analysis<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">of<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">190<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">studies<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">,<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">we<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">find<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">an<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">increased<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">use<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">of<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Convolutional<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Neural<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Networks<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">(<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">CNNs<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">)<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">that<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">apply<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">images<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">through<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Time<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">-<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Frequency<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Decomposition<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">techniques<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><\/p><p><span class=\"--l sentence_highlight\">Published in IEEE Access.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Publication date: 26 December 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9999444\">10.1109\/ACCESS.2022.3232563<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-40dd148\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-40dd148\" aria-controls=\"expand-40dd148\">\n                        <span class=\"title\">An experimental protocol for exploration of stress in an immersive VR scenario with EEG<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-40dd148\" style=\"display:none\"><div class=\"card-body\"><p>Andreas Miltiadous, Vasileios Aspiotis, Konstantinos Sakkas, Nikolaos Giannakeas, Euripidis Glavas, Alexandros T. Tzallas.<\/p><p><span class=\"--l --r sentence_highlight\">This research proposes an experimental protocol to study stress in virtual environments (VR) using Electroencephalography (EEG). It combines data from EEG, Electrocardiography (ECG) and the Perceived Stress Scale to assess stress through a phobia induction scenario in VR. <\/span><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">The<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">protocol<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">can<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">be<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">used<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">to<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">investigate<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">functional<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">brain<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">connectivity<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">to<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">develop<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">machine<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">learning<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">algorithms<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">for<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">automatic<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">classification<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">of<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">stress<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">levels<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><\/p><p><span class=\"--l sentence_highlight\">Published in 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 23-25 September 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Date added to IEEE Xplore: 1 November 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932987\">10.1109\/SEEDA-CECNSM57760.2022.9932987<\/a><\/span><\/p><p><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">\u00a0<\/span><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-ec51a3b\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-ec51a3b\" aria-controls=\"expand-ec51a3b\">\n                        <span class=\"title\">A Comparative Testing of Yolov8-Based Algorithm for Cancer Biopsy Images: Case Study on Pannuke Pan-Cancer Dataset<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-ec51a3b\" style=\"display:none\"><div class=\"card-body\"><p>Panagiotis N. Smyrlis, Odysseas Tsakai, Konstantinos Vogklis, Nikolaos Giannakeas, Alexandros Tzallas, George F. Fragulis.<\/p><p><span class=\"--l --r sentence_highlight\">Abstracts: <\/span><span class=\"--l --r sentence_highlight\">The YOLO architecture has shown excellent results in various detection and segmentation tasks, including biomedical image analysis. <\/span><span class=\"--l --r sentence_highlight\">In this paper, we examine the effectiveness and applicability of the approach to cancer data through comparative tests with the state-of-the-art YOLOv8 algorithm. <\/span><span class=\"--l --r sentence_highlight\">The experimental protocol includes a detailed analysis of different YOLOv8 approaches and provides an evaluative overview of the models through a plug-and-play application. <\/span><span class=\"--l --r sentence_highlight\">The results present the performance characteristics of each model and examine the impact of the architecture combined with the development load and performance requirements.<\/span><\/p><p><span class=\"--l sentence_highlight\">Published in 2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 10-12 November 2023.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Date added to IEEE Xplore: 21 March 2024.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10470849\">10.1109\/SEEDA-CECNSM61561.2023.10470849<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-782a7ea\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-782a7ea\" aria-controls=\"expand-782a7ea\">\n                        <span class=\"title\">A Dataset of Scalp EEG Recordings of Alzheimer\u2019s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-782a7ea\" style=\"display:none\"><div class=\"card-body\"><p>Andreas Miltiadous, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G. Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Nikolaos Giannakeas, Alexandros T. Tzallas<\/p><p><strong>Abstract:<\/strong><br \/>There has been a growing interest in using the electroencephalogram (EEG) as a non-invasive diagnostic tool for neurodegenerative diseases. This article provides a detailed description of a resting-state EEG dataset from individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls. The dataset was collected with a clinical EEG system using 19 scalp electrodes while participants were in a resting state with their eyes closed. It includes 36 Alzheimer's patients, 23 frontotemporal dementia patients, and 29 healthy age-matched controls. The data collection process included quality control measures to ensure data accuracy. The dataset is available in both raw and preprocessed forms in the standard BIDS format, with established methods like artifact subspace reconstruction and independent component analysis used for denoising. The dataset holds significant potential for future studies, particularly in the growing field of Alzheimer's EEG machine learning, and can aid in exploring brain activity alterations and connectivity in neurodegenerative diseases.<\/p><p><strong>Published in:<\/strong> <em>Data<\/em><br \/><strong>Journal:<\/strong> <em>2023, 8(6), 95<\/em><br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.mdpi.com\/2306-5729\/8\/6\/95\" target=\"_new\" rel=\"noopener\">10.3390\/data8060095<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-5608bf7\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-5608bf7\" aria-controls=\"expand-5608bf7\">\n                        <span class=\"title\">Early Diagnosis and Intervention of Developmental Dyslexia at the Preschool Age: The Role of Stress<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-5608bf7\" style=\"display:none\"><div class=\"card-body\"><p>Victoria Zakopoulou, Elena Venizelou, Christos-Orestis Tsiantis, Alexandros Tzallas, George Dimakopoulos, Maria Syrrou<\/p><p><strong>Abstract:<\/strong><br \/>Developmental dyslexia (DD) is a multifactorial learning disorder influenced by various biological, neurophysiological, cognitive, and psychomotor factors. This study examines the association between early signs of DD and stress, focusing on polymorphisms\/variants of HPA axis-related genes involved in stress regulation, and mitochondrial DNA copy number (mtDNAcn) as a sensitive stress biomarker. The study involved 314 children aged 5 to 6 years, including 20 preschoolers at risk for DD and 10 typically developing controls. The children underwent early identification screening and a 3-month intervention program. Genotyping of HPA axis gene variants and mtDNAcn estimation were conducted before and after the intervention. Multivariate analysis revealed significant differences in cognitive, psychomotor, and linguistic factors between the DD and control groups. Although no significant difference in mtDNAcn was found before the intervention, a statistically significant change was observed in the intervention group after treatment. The findings suggest that stress plays a critical role in the early onset of DD. Early diagnosis and intervention in preschool are essential for minimizing long-term negative effects and improving outcomes.<\/p><p><strong>Published in:<\/strong> <em>INPACT 2024 Conference Proceedings<\/em><br \/><strong>DOI:<\/strong> <a href=\"https:\/\/inpact-psychologyconference.org\/wp-content\/uploads\/2024\/07\/202401OP030.pdf\" target=\"_new\" rel=\"noopener\">10.36315\/2024inpact030<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-0f6ff0e\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-0f6ff0e\" aria-controls=\"expand-0f6ff0e\">\n                        <span class=\"title\">Alzheimer\u2019s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-0f6ff0e\" style=\"display:none\"><div class=\"card-body\"><p>Andreas Miltiadous, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Theodora Afrantou, Panagiotis Ioannidis, Alexandros T. Tzallas<\/p><p><strong>Abstract:<\/strong><br \/>Dementia is a clinical syndrome that involves progressive cognitive and emotional decline, severely affecting daily functioning. Alzheimer\u2019s disease (AD) is the most prevalent neurodegenerative disorder, accounting for 50\u201370% of dementia cases. Frontotemporal dementia (FTD), another type of dementia, primarily affects personality and social skills due to degeneration of the prefrontal and anterior temporal cortex. This study explores the use of electroencephalogram (EEG) as an effective biomarker for identifying neuronal and cognitive dynamics in AD and FTD cases. Six supervised machine learning techniques were compared for classifying EEG signals from AD and FTD patients. Additionally, two validation methods, K-fold cross-validation and leave-one-patient-out cross-validation, were evaluated for their performance in this classification problem. The results showed that decision trees achieved an accuracy of 78.5% for AD detection, while random forests reached 86.3% accuracy for FTD detection.<\/p><p><strong>Published in:<\/strong> <em>Diagnostics<\/em><br \/><strong>Date Published:<\/strong> 9 August 2021<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.mdpi.com\/2075-4418\/11\/8\/1437\" target=\"_new\" rel=\"noopener\">10.3390\/diagnostics11081437<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-2e2239a\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-2e2239a\" aria-controls=\"expand-2e2239a\">\n                        <span class=\"title\">Active Touch Classification Using EEG Signals<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-2e2239a\" style=\"display:none\"><div class=\"card-body\"><p>Vasileios Aspiotis, Dimitrios Peschos, Katerina D. Tzimourta, Markos G. Tsipouras, Al Husein Sami Abosaleh, Evangelos Antoniou<\/p><p><strong>Abstract:<\/strong><br \/>Touch is a key aspect of human interaction with the environment, influencing various developmental and cognitive processes. Recent studies have focused on understanding the electro-physiological brain activity related to haptic stimulation. This preliminary experiment aimed to classify EEG features from four healthy participants, who were asked to touch three different textures\u2014smooth, rough, and water surface\u2014using their fingertips. EEG recordings were collected and analyzed by extracting time- and frequency-based features, which were then fed into classifiers. The classification results showed a performance of 63% with the C4.5 algorithm and 76% with Random Forests using 10-fold cross-validation.<\/p><p><strong>Published in:<\/strong> <em>2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em><br \/><strong>Date of Conference:<\/strong> 24-26 September 2021<br \/><strong>Date Added to IEEE Xplore:<\/strong> 18 October 2021<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9566257\" target=\"_new\" rel=\"noopener\">10.1109\/SEEDA-CECNSM53056.2021.9566257<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-9f2bcb2\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-9f2bcb2\" aria-controls=\"expand-9f2bcb2\">\n                        <span class=\"title\">Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-9f2bcb2\" style=\"display:none\"><div class=\"card-body\"><p>Vasileios Aspiotis, Andreas Miltiadous, Konstantinos Kalafatakis, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Dimitrios Peschos, Euripidis Glavas, Alexandros T. Tzallas<\/p><h3><strong>Abstract:<\/strong><\/h3><p>Virtual reality (VR) advancements have made high-risk experimental scenarios, such as extreme height exposure, feasible for research. This study investigates stress system activation using VR-based high-altitude simulations combined with electroencephalography (EEG) and electrocardiography (ECG) sensors. Real-time monitoring of EEG and ECG biomarkers was performed while participants experienced the VR scenario. To process the movement-induced noise in EEG data, a robust signal preprocessing pipeline was employed. Statistical analysis revealed significant correlations between stress biomarkers and self-reported stress levels (via the Perceived Stress Scale questionnaire). Notably, occipital-region EEG biomarkers, such as beta and gamma band power and occipital alpha asymmetry, were associated with stress responses. Participants were divided into groups based on heart rate changes, further supporting biomarker differences linked to stress. These findings highlight EEG's potential as a reliable indicator of stress in VR-based experimental setups.<\/p><p><strong>Published in:<\/strong> <em>Sensors<\/em><br \/><strong>Date Published:<\/strong> 3 August 2022<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.mdpi.com\/1424-8220\/22\/15\/5792\" target=\"_new\" rel=\"noopener\">10.3390\/s22155792<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-bda9f79\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-bda9f79\" aria-controls=\"expand-bda9f79\">\n                        <span class=\"title\">Evaluating the Window Size\u2019s Role in Automatic EEG Epilepsy Detection<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-bda9f79\" style=\"display:none\"><div class=\"card-body\"><p>Vasileios Christou, Andreas Miltiadous, Ioannis Tsoulos, Evaggelos Karvounis, Katerina D. Tzimourta, Markos G. Tsipouras, Nikolaos Anastasopoulos, Alexandros T. Tzallas, Nikolaos Giannakeas<\/p><h3><strong>Abstract:<\/strong><\/h3><p>Electroencephalography (EEG) is a key diagnostic tool for epilepsy, but the analysis of its intricate waveforms, including sporadic sharp waves and spikes indicative of epilepsy, remains challenging. This study examines how varying window sizes influence the accuracy of automated EEG signal classification using machine learning methods. Utilizing the University of Bonn's EEG dataset, EEG data were divided into overlapping epochs with window lengths ranging from 1 to 24 seconds. Statistical and spectral features were extracted for classification with four methods: a neural network trained via three different algorithms (Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno, multistart method, genetic algorithm) and the k-nearest neighbors (k-NN) classifier. The results revealed that larger window sizes, approximately 21 seconds, significantly improved classification accuracy across the methods. This finding underscores the importance of selecting appropriate window sizes for enhancing the effectiveness of automated EEG epilepsy detection systems.<\/p><p><strong>Published in:<\/strong> <em>Sensors<\/em><br \/><strong>Date Published:<\/strong> 27 November 2022<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9233\" target=\"_new\" rel=\"noopener\">10.3390\/s22239233<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-cd7e932\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-cd7e932\" aria-controls=\"expand-cd7e932\">\n                        <span class=\"title\">Fetal ECG Extraction Based on Overcomplete ICA and Empirical Wavelet Transform<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-cd7e932\" style=\"display:none\"><div class=\"card-body\"><p>Theodoros Lampros, Nikolaos Giannakeas, Konstantinos Kalafatakis, Markos Tsipouras, Alexandros Tzallas<\/p><h3><strong>Abstract:<\/strong><\/h3><p>The continuous monitoring of fetal heart activity during pregnancy is vital for identifying and preventing complications associated with fetal heart development. Noninvasive fetal electrocardiogram (NI-fECG) has become a significant focus due to its ability to provide prenatal diagnostic insights, such as beat-to-beat monitoring of the Fetal Heart Rate (FHR) and detailed electrophysiological analysis of fetal cardiac activity. However, extracting the fetal ECG from maternal abdominal recordings poses a challenge due to the interference from the maternal ECG, which is much stronger in amplitude.<\/p><p>This study introduces a novel hybrid methodology combining Reconstruction Independent Component Analysis (R-ICA) and Empirical Wavelet Transform (EWT) to accurately isolate the fetal ECG signal. The proposed RICA-EWT method was tested on real NI-fECG signals recorded from pregnant women at various stages of labor. The experimental results demonstrate its robustness and efficiency across different signal-to-noise ratio (SNR) levels, highlighting its potential for clinical applications in fetal heart monitoring.<\/p><p><strong>Published in:<\/strong> Lecture Notes in Computer Science (Springer)<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-34171-7_3\" target=\"_new\" rel=\"noopener\">10.1007\/978-3-031-34171-7_3<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-0099ea6\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-0099ea6\" aria-controls=\"expand-0099ea6\">\n                        <span class=\"title\">\u03a4ourette Syndrome\u2019s Coprolalia Explanation using Bipartite Graph Matching of Thoughts and Game Theoretic Model for Symptoms Minimisation<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-0099ea6\" style=\"display:none\"><div class=\"card-body\"><p>Evangelos D. Spyrou, Christoforos Nestoris, Chrysostomos Stylios<\/p><h3><strong>Abstract:<\/strong><\/h3><p>Coprolalia, a hallmark symptom of Tourette\u2019s syndrome, involves involuntary cursing that often targets societal taboos related to sexuality or social identity, leading to significant social isolation and heightened anxiety for patients. This behavior disrupts daily life activities and contributes to severe distress.<\/p><p>This research explores Coprolalia through the framework of bipartite graph matching, proposing that the brain reroutes ordinary thoughts, matching them with intrusive obscene counterparts. This decoding approach aims to elucidate the underlying neural mechanisms driving Coprolalia, potentially enabling patients to better understand and manage this behavior.<\/p><p>Additionally, the study introduces a game-theoretic model, inspired by the \"Battle of the Sexes\" paradigm, to analyze strategies for symptom minimization. The model presents two pure-strategy equilibria: blocking the intrusive thoughts or allowing them to pass. This mechanism supports patient resilience in social activities where symptoms are most pronounced and aligns with Cognitive Behavioral Therapy (CBT) principles. Specifically, CBT advocates for confronting intrusive thoughts with the goal of reducing their impact over time.<\/p><p><strong>Published in:<\/strong> 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932906\" target=\"_new\" rel=\"noopener\">10.1109\/SEEDA-CECNSM57760.2022.9932906<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-8bbd9f0\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-8bbd9f0\" aria-controls=\"expand-8bbd9f0\">\n                        <span class=\"title\">Classification of EEG Signals from Young Adults with Dyslexia Combining a Brain Computer Interface Device and an Interactive Linguistic Software Tool<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-8bbd9f0\" style=\"display:none\"><div class=\"card-body\"><p>Pavlos Christodoulides, Andreas Miltiadous, Katerina D. Tzimourta, Dimitrios Peschos, Georgios Ntritsos, Victoria Zakopoulou, Nikolaos Giannakeas, Loukas G. Astrakas, Markos G. Tsipouras, Konstantinos I. Tsamis, Euripidis Glavas, Alexandros T. Tzallas<\/p><h3><strong>Abstract:<\/strong><\/h3><p>The magnocellular pathway deficit theory has been proposed as a potential cause for dyslexia, suggesting that auditory and visual processing deficits are central to the disorder. Machine learning techniques applied to anatomical brain imaging have been used to classify these deficits, but EEG-based classification methods are increasingly recognized for their robustness and reliability. This study investigates the use of a Brain Computer Interface (BCI) device combined with an Interactive Linguistic Software Tool to classify dyslexia in a university population.<\/p><p>EEG signals were recorded from 12 university students with dyslexia and 14 age-matched typically developed individuals. The participants were assessed under three experimental conditions: auditory discrimination, visual recognition, and visual recognition with background music. Spectral features from the EEG rhythms (\u03b4, \u03b8, \u03b1, \u03b2, \u03b3) were extracted and used to train a Random Forest classifier. The goal was to identify EEG features that distinguish dyslexia in different brain regions.<\/p><p>Results demonstrated high classification accuracy (above 95%) across the entire brain, with excellent performance in both hemispheres. The highest discrimination accuracy was observed in the third experimental condition, where background music was present. The findings suggest that combining BCI devices with linguistic tools can effectively classify dyslexia in higher education students and could be a valuable diagnostic approach.<\/p><p><strong>Published in:<\/strong> <em>Biomedical Signal Processing and Control<\/em><br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1746809422001689?via%3Dihub\" target=\"_new\" rel=\"noopener\">10.1016\/j.bspc.2022.103646<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-ccd9952\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-ccd9952\" aria-controls=\"expand-ccd9952\">\n                        <span class=\"title\">An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-ccd9952\" style=\"display:none\"><div class=\"card-body\"><p>Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas<\/p><p><strong>Abstract<\/strong>:<br \/>Non-alcoholic fatty liver disease (NAFLD) covers a range of chronic medical conditions varying from hepatocellular inflammation, which characterizes nonalcoholic steatohepatitis (NASH), to steatosis, the key element of nonalcoholic fatty liver (NAFL). This study presents an automated image analysis method for quantitatively assessing fat deposition in steatotic liver biopsy specimens. The method combines image processing, machine learning, and evolutionary algorithm optimization techniques, achieving a 1.93% mean classification error compared to semiquantitative interpretations by specialized hepatologists.<\/p><p><strong>Published in<\/strong>: Array<br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2590005621000266?via%3Dihub\" target=\"_new\" rel=\"noopener\">10.1016\/j.array.2021.100078<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-3cb52e5\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-3cb52e5\" aria-controls=\"expand-3cb52e5\">\n                        <span class=\"title\">Personalized Visualization of the Gestures of Parkinson\u2019s Disease Patients with Virtual Reality<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-3cb52e5\" style=\"display:none\"><div class=\"card-body\"><p>Konstantinos Sakkas, Eirini Georgia Dimitriou, Niki Eleni Ntagka, Nikolaos Giannakeas, Konstantinos Kalafatakis<\/p><p><strong>Abstract<\/strong>:<br \/>Parkinson\u2019s disease is a neurological disorder characterized by motor and non-motor symptoms. Assessment methods, despite the many years of existence of the disease, lack individualized visualization. On the other hand, virtual reality promises immersion and realism. In this paper, we develop an integrated system for visualizing the gestures of Parkinson\u2019s disease patients in a virtual reality environment. With this application, clinicians will have information about the unique motor patterns and challenges they must address in each individual patient\u2019s case, while the collected data can travel and be easily and instantly visualized in any location. At the beginning of this research, the current terms of immersive technologies in conjunction with data visualization and Parkinson\u2019s disease are described. Through an extensive systematic literature review, the technological developments in the field of Parkinson\u2019s data visualization are presented. The findings of the review lead to the experimental procedure and implementation of the application. The conclusions drawn from this work fuel future extensions on the contribution of immersive technologies to various diseases.<\/p><p><strong>Published in<\/strong>: <em>Future Internet<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.proquest.com\/docview\/3110495781?pq-origsite=gscholar&amp;fromopenview=true&amp;sourcetype=Scholarly%20Journals\" target=\"_new\" rel=\"noopener\">10.3390\/fi16090305<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-220a513\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-220a513\" aria-controls=\"expand-220a513\">\n                        <span class=\"title\">An Ensemble Method for EEG-based Texture Discrimination during Open Eyes Active Touch<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-220a513\" style=\"display:none\"><div class=\"card-body\"><p>Andreas Miltiadous, Vasileios Aspiotis, Dimitrios Peschos, Katerina D. Tzimourta, Al Husein Sami Abosaleh, Nikolaos Giannakeas, Alexandros Tzallas\u00a0<\/p><p><strong>Abstract<\/strong>:<br \/>Touch sensation is a key modality that allows humans to understand and interact with their environment. More often than not, touch sensation depends on vision to accumulate and validate the received information. The ability to distinguish between materials and surfaces through active touch consists of a complex of neurophysiological operations. To unveil the functionality of these operations, neuroimaging and neurophysiological research tools are employed, with electroencephalography being the most used. In this paper, we attempt to distinguish between brain states when touching different natural textures (smooth, rough, and liquid). Recordings were obtained with a commercially available EEG wearable device. Time and frequency-based features were extracted, transformed with PCA decomposition, and an ensemble classifier combining Random Forest, Support Vector Machine, and Neural Network was utilized. High accuracy scores of 79.64% for the four-class problem and 89.34% for the three-class problem (Null-Rough-Water) were accordingly achieved. Thus, the methodology's robustness indicates its ability to classify different brain states under haptic stimuli.<\/p><p><strong>Published in<\/strong>: <em>Engineering, Technology &amp; Applied Science Research<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/etasr.com\/index.php\/ETASR\/article\/view\/6455\" target=\"_new\" rel=\"noopener\">10.48084\/etasr.6455<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-82b16de\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-82b16de\" aria-controls=\"expand-82b16de\">\n                        <span class=\"title\">An Optimized Hybrid Methodology for Non-invasive Fetal Electrocardiogram Signal Extraction and Monitoring<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-82b16de\" style=\"display:none\"><div class=\"card-body\"><p>Theodoros Lampros, Konstantinos Kalafatakis, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Alexandros T. Tzallas<\/p><p><strong>Abstract<\/strong>:<br \/><strong>Background and Objective<\/strong>: Electronic fetal heart monitoring is currently used during pregnancy throughout most of the developed world to detect risk conditions for both the mother and the fetus. Non-invasive fetal electrocardiogram (NI-fECG), recorded in the maternal abdomen, represents an alternative to cardiotocography, which could provide a more accurate estimate of fetal heart rate. Different methodologies, with varying advantages and disadvantages, have been developed for NI-fECG signal detection and processing.<\/p><p><strong>Published in<\/strong>: <em>Array<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2590005623000279?via%3Dihub\" target=\"_new\" rel=\"noopener\">10.1016\/j.array.2023.100302<\/a><\/p><\/div><\/div>\n            <\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-154eadb e-flex e-con-boxed e-con e-parent\" data-id=\"154eadb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2916146 e-con-full e-flex e-con e-child\" data-id=\"2916146\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1db4644 elementor-widget elementor-widget-menu-anchor\" data-id=\"1db4644\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"industrial\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-452c8ae elementor-widget elementor-widget-heading\" data-id=\"452c8ae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Industrial Research<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a2420ff e-con-full e-flex e-con e-child\" data-id=\"a2420ff\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-b825b8b e-con-full e-flex e-con e-child\" data-id=\"b825b8b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fbda5bc elementor-widget elementor-widget-jkit_accordion\" data-id=\"fbda5bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"jkit_accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div  class=\"jeg-elementor-kit jkit-accordion style-default jeg_module__3_69df4d6a902b4\" ><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-218e202\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-218e202\" aria-controls=\"expand-218e202\">\n                        <span class=\"title\">Classification of CO Environmental Parameter for Air Pollution Monitoring with Grammatical Evolution<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-218e202\" style=\"display:none\"><div class=\"card-body\"><p>Evangelos D. Spyrou, Chrysostomos Stylios, Ioannis Tsoulos<\/p><h3><strong>Abstract:<\/strong><\/h3><p>Urban air pollution is a critical issue with significant public health implications. This study leverages IoT devices for real-time air quality monitoring by focusing on the carbon monoxide (CO) parameter as an indicator of pollution. Data were collected from environmental monitoring stations in the Port and Town Hall areas of Igoumenitsa, Greece. After normalization, the k-means algorithm and the elbow method were used to determine clustering, while the Grammatical Evolution (GE) algorithm was applied for classification. GE constructs interpretable classification programs, allowing better analysis of pollution patterns. The proposed method was compared to four state-of-the-art models: Adam optimizer, genetic algorithm (GA) for neural networks, Bayes model, and L-BFGS optimizer. The GenClass method demonstrated superior classification accuracy, outperforming the other methods in terms of classification error.<\/p><p><strong>Published in:<\/strong> <em>Applied Sciences<\/em><br \/><strong>Date Published:<\/strong> 15 June 2023<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.mdpi.com\/1999-4893\/16\/6\/300\" target=\"_new\" rel=\"noopener\">10.3390\/a16060300<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-dfb32e5\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-dfb32e5\" aria-controls=\"expand-dfb32e5\">\n                        <span class=\"title\">Challenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence, and Cybernetics<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-dfb32e5\" style=\"display:none\"><div class=\"card-body\"><p>Vasiliki Liagkou, Chrysostomos Stylios, Lamprini Pappa, Alexander Petunin<\/p><p><strong>Abstract<\/strong>:<br \/>Industry 4.0 has risen as an integrated digital manufacturing environment, and it has created a novel research perspective that has thrust research to interdisciplinarity and exploitation of ICT advances. This work presents and discusses the main aspects of Industry 4.0 and how intelligence can be embedded in manufacturing to create the smart factory. It briefly describes the main components of Industry 4.0, and it focuses on the security challenges that the fully interconnected ecosystem of Industry 4.0 has to meet and the threats for each component. Preserving security has a crucial role in Industry 4.0, and it is vital for its existence, so the main research directions on how to ensure the confidentiality and integrity of the information shared among the Industry 4.0 components are presented. Another view is in light of the security issues that come as a result of enabling new technologies.<\/p><p><strong>Published in<\/strong>: <em>Electronics<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2079-9292\/10\/16\/2001\" target=\"_new\" rel=\"noopener\">10.3390\/electronics10162001<\/a><\/p><\/div><\/div>\n            <\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-efcb095 e-flex e-con-boxed e-con e-parent\" data-id=\"efcb095\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e4a639e e-con-full e-flex e-con e-child\" data-id=\"e4a639e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8e71550 elementor-widget elementor-widget-menu-anchor\" data-id=\"8e71550\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"social\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3dc01aa elementor-widget elementor-widget-heading\" data-id=\"3dc01aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Social &amp; Educational Research<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c5e82ae e-con-full e-flex e-con e-child\" data-id=\"c5e82ae\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-54106f5 e-con-full e-flex e-con e-child\" data-id=\"54106f5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a2f9c86 elementor-widget elementor-widget-jkit_accordion\" data-id=\"a2f9c86\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"jkit_accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div  class=\"jeg-elementor-kit jkit-accordion style-default jeg_module__4_69df4d6a9202e\" ><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-63f0f0c\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-63f0f0c\" aria-controls=\"expand-63f0f0c\">\n                        <span class=\"title\">Virtual Reality Escape Rooms for STEM Education in Industry 4.0: Greek Teachers Perspectives<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-63f0f0c\" style=\"display:none\"><div class=\"card-body\"><p>Stylianos Mystakidis, George Papantzikos, Chrysostomos Stylios.<\/p><p><span class=\"--l --r sentence_highlight\">Description: <\/span><span class=\"--l --r sentence_highlight\">This study examines the views of Greek primary and secondary school teachers on digital educational escape rooms in Virtual Reality (VR) environments for STEM teaching. After using an economical, science-oriented digital escape room, 28 teachers completed a questionnaire. <\/span><span class=\"--l --r sentence_highlight\">Results show positive acceptance, with teachers acknowledging its learning value and expressing interest in further professional development through gamified methods.<\/span><\/p><p><span class=\"--l sentence_highlight\">Published in the proceedings of the 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 24-26 September 2021.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9566265\">10.1109\/SEEDA-CECNSM53056.2021.9566265<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-20105e0\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-20105e0\" aria-controls=\"expand-20105e0\">\n                        <span class=\"title\">A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4th IR era<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-20105e0\" style=\"display:none\"><div class=\"card-body\"><p>Konstantinos Sakkas, Niki Eleni Ntagka, Panagiota Vinni, Paraskevi Artemi, Aristidis Anagnostakis, Nikolaos Giannakeas.<\/p><p><span class=\"--l --r sentence_highlight\">Summary: <\/span><span class=\"--l --r sentence_highlight\">This research examines the general population's level of awareness of Virtual Reality (VR), Internet of Things (IoT) and Blockchain technologies within the context of the Fourth Industrial Revolution (4th IR). It presents a literature review of the key technologies of the 4th Industrial Revolution combined with a questionnaire. <\/span><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">The<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">aim<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">is<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">to<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">quantify<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">the<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">population's<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">awareness<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">of<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">these<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">technologies<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">,<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">which<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">are<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">shaping<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">the<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">way<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">industry<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">society<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">operate<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">in<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">the<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">new<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">era<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><\/p><p><span class=\"--l sentence_highlight\">Published in 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 23-25 September 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Date added to IEEE Xplore: 1 November 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932968\">10.1109\/SEEDA-CECNSM57760.2022.9932968<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-60e2466\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-60e2466\" aria-controls=\"expand-60e2466\">\n                        <span class=\"title\">Analysis of Emotions through the Use of Physiological Signals<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-60e2466\" style=\"display:none\"><div class=\"card-body\"><p>Konstantinos Sakkas, Alexandra Tsogka, Athanasios Gkimitzoudis, Nikolaos Giannakeas, Katerina D. Tzimourta, Markos Tsipouras.<\/p><p><span class=\"--l --r sentence_highlight\">Abstract: This article discusses the process of emotion recognition through physiological signals, focusing on the use of electroencephalogram (EEG). <\/span><span class=\"--l --r sentence_highlight\">The methodology involves the identification of basic emotions through an experimental protocol, in which participants were asked to rate video-based emotional states using criteria such as valence, arousal and dominance. EEG data were analyzed by electrode and video, with the aim of extracting features. <\/span><span class=\"--l --r sentence_highlight\">Classification algorithms were then used to train models and evaluate accuracy, sensitivity and specificity in emotion recognition.<\/span><\/p><p><span class=\"--l sentence_highlight\">Published in 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 23-25 September 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Date added to IEEE Xplore: 1 November 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932976\">10.1109\/SEEDA-CECNSM57760.2022.9932976<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-5eea32c\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-5eea32c\" aria-controls=\"expand-5eea32c\">\n                        <span class=\"title\">Applied Virtual Reality in 3D Geometry<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-5eea32c\" style=\"display:none\"><div class=\"card-body\"><p>Konstantinos Sakkas, Alexandra Tsogka, Nikolaos Giannakeas, Katerina D. Tzimourta, Alexandros T. Tzallas, Euripidis Glavas.<\/p><p><span class=\"--l --r sentence_highlight\">Abstract: This article highlights the contribution of Virtual Reality (VR) to the understanding of three-dimensional geometric concepts. <\/span><span class=\"--l --r sentence_highlight\">It explores how VR can facilitate learning by enabling students to interact with geometric shapes in 3D space, which is difficult to achieve through conventional textbooks. <\/span><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Through<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">VR<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">applications<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">,<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">students<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">can<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">examine<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">geometric<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">shapes<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">from<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">different<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">angles<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">perspectives<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">,<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">enhancing<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">their<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">understanding<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">of<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">complex<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">geometry<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">concepts<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">that<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">are<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">usually<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">considered<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">difficult<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><\/p><p><span class=\"--l sentence_highlight\">Published in 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 23-25 September 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Date added to IEEE Xplore: 1 November 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932948\">10.1109\/SEEDA-CECNSM57760.2022.9932948<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-a783473\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-a783473\" aria-controls=\"expand-a783473\">\n                        <span class=\"title\">Virtual and Augmented Experience in Cultural Places: The Perspective of Integration in the Learning Process<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-a783473\" style=\"display:none\"><div class=\"card-body\"><p>Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas.<\/p><p><span class=\"--l --r sentence_highlight\">Abstract: This article aims to develop and evaluate mobile applications for learning tours in cultural and archaeological sites, using virtual reality (VR) and augmented reality (AR) technologies. First, the theoretical framework of VR and AR techniques is presented. Then, the virtual model of the Arta bridge is constructed and integrated into the Unity game engine, accompanying a virtual navigation application. <\/span><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">The<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">application<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">is<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">enriched<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">with<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">multimedia<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">elements<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">,<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">linked<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">to<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">a<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">corresponding<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">augmented<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">reality<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">application<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">evaluated<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">by<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">secondary<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">school<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">students<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><\/p><p><span class=\"--l sentence_highlight\">Published in 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Conference date: 23-25 September 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Date<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">added<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">to<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">IEEE<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">Xplore<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">:<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">1<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">November<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">2022<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932923\">10.1109\/SEEDA-CECNSM57760.2022.9932923<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-5621602\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-5621602\" aria-controls=\"expand-5621602\">\n                        <span class=\"title\">Designing a Cultural Augmented Reality Application For Educational Purposes<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-5621602\" style=\"display:none\"><div class=\"card-body\"><p>Giannis Botilias, George Papantzikos, Athanasios Christopoulos, Jeries Besarat, Chrysostomos Stylios<\/p><p><strong>Abstract:<\/strong><br \/>In recent years, cultural organizations have increasingly adopted technological innovations in their activities, driven by general technological evolution and the advanced capabilities of modern mobile devices. Augmented Reality (AR) applications are one such interactive solution, already applied in various fields such as recreation and education. This paper discusses the design and development steps for creating an AR (marker-based) application dedicated to the medieval castle of Arta in Greece. The application was developed using the Unity 3D platform and the Vuforia Software Development Kit (SDK). As part of ongoing research, future plans include empirical evaluation of the application. The work aims to encourage cultural organizations to consider adopting AR technology to enhance visitors\u2019 experiences and educational value.<\/p><p><strong>Published in:<\/strong> <em>2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em><br \/><strong>Conference Date:<\/strong> 24-26 September 2021<br \/><strong>Date Added to IEEE Xplore:<\/strong> 18 October 2021<br \/><strong>Publisher:<\/strong> IEEE<br \/><strong>DOI:<\/strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/9566218\"> 10.1109\/SEEDA-CECNSM53056.2021.9566218<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-1bf773a\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-1bf773a\" aria-controls=\"expand-1bf773a\">\n                        <span class=\"title\">A Novel Gamification Application for High School Student Examination and Assessment to Assist Student Engagement and to Stimulate Interest<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-1bf773a\" style=\"display:none\"><div class=\"card-body\"><p>Anna Maria Gianni, Nikolaos Antoniadis<\/p><p><strong>Abstract<\/strong>:<br \/>Formal education in high school focuses primarily on knowledge acquisition via traditional classroom teaching. Younger generations of students tend to lose interest and disengage from the process. Gamification, the use of gaming elements in the training process to stimulate interest, has been used lately to battle this phenomenon. The use of an interactive environment and the employment of tools familiar to today\u2019s students aim to bring the student closer to the learning process. Even though there have been several attempts to integrate gaming elements in the teaching process, few applications in the student assessment procedure have been reported so far. In this article, a new approach to student assessment is implemented using a gamified quiz as opposed to standard exam formats, where students are asked to answer questions on the material already taught, using various gaming elements (leaderboards, rewards at different levels, etc.). The results show that students are much more interested in this interactive process and would like to see this kind of performance assessment more often in their everyday activity in school. The participants are also motivated to learn more about the subject of the course and are generally satisfied with this novel approach compared to standard forms of exams.<\/p><p><strong>Published in<\/strong>: <em>Information<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/doi.org\/10.3390\/info14090498\" target=\"_new\" rel=\"noopener\">10.3390\/info14090498<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-2e8cad7\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-2e8cad7\" aria-controls=\"expand-2e8cad7\">\n                        <span class=\"title\"> Virtual and Augmented Experience in Virtual Learning Tours<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-2e8cad7\" style=\"display:none\"><div class=\"card-body\"><p>Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas, Nikolaos Giannakeas<br \/><br \/><strong>Abstract<\/strong>:<br \/>The aim of this work is to highlight the possibilities of using VR applications in the informal learning process. This is attempted through the development of virtual reality cultural applications for historical monuments. For this purpose, the theoretical framework of virtual and augmented reality techniques is presented, developing as a showcase of the virtual environment of the historical bridge of Arta, in Greece. The bridge model is created through 3D software, which is then imported into virtual world environment by employing the Unity engine. The main objective of the research is the technical and empirical evaluation of the VR application by specialists, in comparison with the real environment of the monument. Accordingly, the use of the application in the learning process is evaluated by high school students. Using the conclusions of the evaluation, the environment will be enriched with multimedia elements and the application will be evaluated by secondary school students as a learning experience and process, using electroencephalography (EEG). The recording and analysis of research results can be generalized and lead to safe conclusions for the use of similar applications in the field of culture and learning.<br \/><strong>Keywords<\/strong>: Virtual reality, augmented reality, learning tours, historical monuments, Unity engine, EEG, educational evaluation, multimedia elements, cultural applications.<br \/><br \/><strong>Published in<\/strong>: <em>Information<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2078-2489\/14\/5\/294\" target=\"_new\" rel=\"noopener\">10.3390\/info14050294<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-1b1868a\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-1b1868a\" aria-controls=\"expand-1b1868a\">\n                        <span class=\"title\">The Impact of Immersive Virtual Reality on Knowledge Acquisition and Adolescent Perceptions in Cultural Education<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-1b1868a\" style=\"display:none\"><div class=\"card-body\"><p>Athanasios Christopoulos, Maria Styliou, Nikolaos Ntalas, Chrysostomos Stylios<br \/><br \/><strong>Abstract<\/strong>:<br \/>Understanding local history is fundamental to fostering a comprehensive global viewpoint. As technological advances shape our pedagogical tools, Virtual Reality (VR) stands out for its potential educational impact. Though its promise in educational settings is widely acknowledged, especially in science, technology, engineering, and mathematics (STEM) fields, there is a noticeable decrease in research exploring VR\u2019s efficacy in the arts. The present study examines the effects of VR-mediated interventions on cultural education. In greater detail, secondary school adolescents (N = 52) embarked on a journey into local history through an immersive 360\u00b0 VR experience. As part of our research approach, we conducted pre- and post-intervention assessments to gauge participants\u2019 grasp of the content and further distributed psychometric instruments to evaluate their reception of VR as an instructional approach. The analysis indicates that VR\u2019s immersive elements enhance knowledge acquisition, but the impact is modulated by the complexity of the subject matter. Additionally, the study reveals that a tailored, context-sensitive, instructional design is paramount for optimising learning outcomes and mitigating educational inequities. This work challenges the \u201cone-size-fits-all\u201d approach to educational VR, advocating for a more targeted instructional approach. Consequently, it emphasises the need for educators and VR developers to collaboratively tailor interventions that are both culturally and contextually relevant.<br \/><br \/><strong>Published in<\/strong>: <em>Information<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2078-2489\/15\/5\/261\" target=\"_new\" rel=\"noopener\">10.3390\/info15050261<\/a><\/p><\/div><\/div>\n            <\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07d01be e-flex e-con-boxed e-con e-parent\" data-id=\"07d01be\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e6f4048 e-con-full e-flex e-con e-child\" data-id=\"e6f4048\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8d655ed elementor-widget elementor-widget-menu-anchor\" data-id=\"8d655ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"comp\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8691ddd elementor-widget elementor-widget-heading\" data-id=\"8691ddd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Computer Science and Mathematical Modeling<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2a6e484 e-con-full e-flex e-con e-child\" data-id=\"2a6e484\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-2d7bcd0 e-con-full e-flex e-con e-child\" data-id=\"2d7bcd0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b97ccf7 elementor-widget elementor-widget-jkit_accordion\" data-id=\"b97ccf7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"jkit_accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div  class=\"jeg-elementor-kit jkit-accordion style-default jeg_module__5_69df4d6a95c29\" ><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-7afac7d\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-7afac7d\" aria-controls=\"expand-7afac7d\">\n                        <span class=\"title\">Scalable Consensus Over Finite Capacities in Multiagent IoT Ecosystems<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-7afac7d\" style=\"display:none\"><div class=\"card-body\"><p>Aristidis G. Anagnostakis, Charilaos Naxakis, Nikolaos Giannakeas, Markos G. Tsipouras, Alexandros T. Tzallas, Euripidis Glavas.<\/p><p><span class=\"--l --r sentence_highlight\">Description: <\/span><span class=\"--l --r sentence_highlight\">The research analyses how to achieve scalable consensus in multi-agent IoT environments with limited capabilities. <\/span><span class=\"--l --r sentence_highlight\">It examines the construction and maintenance of consensus policies using the IoT microblockchain framework as a foundation for consistency. <\/span><span class=\"--l --r sentence_highlight\">Proof of Existence (PoE) is applied as a proof paradigm and its complexity is analyzed under different parameters. <\/span><span class=\"--l --r sentence_highlight\"><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">The<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">results<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">show<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">that<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">nodes<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">with<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">limited<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">capabilities<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">can<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">support<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">verifiable<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">validity<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">scalable<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">consensus<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">in<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">scalable<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">IoT<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">ecosystems<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">metaverse<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">,<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">even<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">under<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">high<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">diversity<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">and<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">resource<\/span> <span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">constraints<\/span><span class=\"--l --r hover:bg-[#B4DAE8] hover:dark:bg-blue-next-600\">.<\/span><\/span><\/p><p><span class=\"--l sentence_highlight\">Published in IEEE Internet of Things Journal (Volume: 10, Issue: 8, 15 April 2023).<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">Pages: 6673-6688.<br \/><\/span><\/p><p><span class=\"--l sentence_highlight\">Publication date: 24 March 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9741249\">10.1109\/JIOT.2022.3162103<\/a><\/span><\/p><p><span class=\"--l --r sentence_highlight\">\u00a0<\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-a6f6231\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-a6f6231\" aria-controls=\"expand-a6f6231\">\n                        <span class=\"title\">Prediction of COVID-19 Cases Using Constructed Features by Grammatical Evolution<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-a6f6231\" style=\"display:none\"><div class=\"card-body\"><p>Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios Tsalikakis.<\/p><p><span class=\"--l --r sentence_highlight\">Abstract: In this paper we propose a method based on grammatical evolution to predict COVID-19 cases and mortality rate. <\/span><span class=\"--l --r sentence_highlight\">The method uses a genetic algorithm guided by the BNF grammar to generate new artificial features from the original data. <\/span><span class=\"--l --r sentence_highlight\">After the artificial features are constructed, the original dataset is modified based on them and then an artificial neural network is applied for analysis. <\/span><span class=\"--l --r sentence_highlight\">The comparative experiments show that feature construction offers an advantage over other machine learning methods for predicting pandemic data.<\/span><\/p><p><span class=\"--l sentence_highlight\">Published in Symmetry 2022, 14(10), 2149.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">Dates: <\/span><span class=\"--l sentence_highlight\">Submitted on September 18, 2022, revised on October 9, 2022, accepted on October 11, 2022, and published on October 14, 2022.<\/span><span class=\"--r sentence_highlight\"><br \/><\/span><\/p><p><span class=\"--l --r sentence_highlight\">DOI: <a href=\"https:\/\/www.mdpi.com\/2073-8994\/14\/10\/2149\">10.3390\/sym14102149<\/a><\/span><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-13571a9\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-13571a9\" aria-controls=\"expand-13571a9\">\n                        <span class=\"title\">Modifications for the Differential Evolution Algorithm<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-13571a9\" style=\"display:none\"><div class=\"card-body\"><p>Vasileios Charilogis, Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis<\/p><p><strong>Abstract:<\/strong><br \/>Differential Evolution (DE) is an optimization method used in solving symmetrical problems and in cases where problems are non-continuous, noisy, or change over time. DE works by optimizing a problem with a population of candidate solutions and generating new candidates based on existing rules. This paper proposes two variations to improve DE. The first modification introduces an asymptotic termination rule, based on the differentiation of the average function values in the population, to enhance the termination phase. The second modification involves a new scheme for adjusting a critical parameter of DE, which improves its ability to explore the objective function\u2019s search space more effectively. The proposed modifications were tested on several benchmark problems, and the experimental results show that the enhanced DE method is more robust and performs faster, even in large-scale problems.<\/p><p><strong>Published in:<\/strong> <em>Symmetry<\/em><br \/><strong>DOI:<\/strong> <a href=\"https:\/\/www.mdpi.com\/2073-8994\/14\/3\/447\" target=\"_new\" rel=\"noopener\">10.3390\/sym14030447<\/a><br \/><strong>Volume:<\/strong> 14, Issue 3, Article 447<br \/><strong>Date of Submission:<\/strong> 27 January 2022<br \/><strong>Revised:<\/strong> 11 February 2022<br \/><strong>Accepted:<\/strong> 19 February 2022<br \/><strong>Published:<\/strong> 23 February 2022<\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-e3d311c\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-e3d311c\" aria-controls=\"expand-e3d311c\">\n                        <span class=\"title\">Cognitive Email Analysis with Automated Decision Support for Business Email Compromise Prevention<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-e3d311c\" style=\"display:none\"><div class=\"card-body\"><p>Anastasios Papathanasiou, Georgios Germanos, Nicholas Kolokotronis, Euripidis Glavas<\/p><p><strong>Abstract:<\/strong><br \/>Business Email Compromise (BEC) attacks pose a significant cybersecurity threat to organizations. This paper presents a novel approach for combating these threats, called Cognitive Email Analysis with Automated Decision Support. The mechanism uses cognitive analysis, artificial intelligence, and automated decision support to identify linguistic and contextual cues within email communications. Its goal is to detect potential BEC threats and enhance decision-making abilities, enabling organizations to adopt a proactive approach to cybersecurity. This paper outlines the conceptual framework of the proposed mechanism and its potential to transform Business Email Compromise prevention strategies.<\/p><p><strong>Published in:<\/strong> <em>2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em><br \/><strong>Date of Conference:<\/strong> 10-12 November 2023<br \/><strong>Date Added to IEEE Xplore:<\/strong> 21 March 2024<br \/><strong>Publisher:<\/strong> IEEE<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/ieeexplore.ieee.org\/document\/10470563\" target=\"_new\" rel=\"noopener\">10.1109\/SEEDA-CECNSM61561.2023.10470563<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-88dbb43\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-88dbb43\" aria-controls=\"expand-88dbb43\">\n                        <span class=\"title\"> Object Detection for Low Light Images<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-88dbb43\" style=\"display:none\"><div class=\"card-body\"><p>Dimitrios Mpouziotas, Eleftherios Mastrapas, Nikos Dimokas, Petros Karvelis, Evripidis Glavas<\/p><p><strong>Abstract:<\/strong><br \/>Object detection is a widely used computer vision technique to locate objects in images. While it has surpassed human performance in many applications, challenges persist, especially in low light conditions. This paper investigates the impact of image enhancement techniques on the performance of the YOLO (You Only Look Once) object detection model in such environments. Various enhancement methods are applied to a low light image dataset, and statistical analysis is conducted to compare YOLO's performance across different enhancement algorithms. The results demonstrate that image enhancement significantly improves object detection efficacy in low light conditions.<\/p><p><strong>Published in:<\/strong> <em>2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)<\/em><br \/><strong>Date of Conference:<\/strong> 23-25 September 2022<br \/><strong>Date Added to IEEE Xplore:<\/strong> 01 November 2022<br \/><strong>Publisher:<\/strong> IEEE<br \/><strong>DOI:<\/strong> <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9932921\" target=\"_new\" rel=\"noopener\">10.1109\/SEEDA-CECNSM57760.2022.9932921<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-2e60453\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-2e60453\" aria-controls=\"expand-2e60453\">\n                        <span class=\"title\">A Two-Phase Evolutionary Method to Train RBF Networks<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-2e60453\" style=\"display:none\"><div class=\"card-body\"><p>Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis<\/p><p><strong>Abstract<\/strong>:<br \/>This article proposes a two-phase hybrid method to train RBF (Radial Basis Function) neural networks for classification and regression problems. In the first phase, a range for the critical parameters of the RBF network is estimated, and in the second phase, a genetic algorithm is incorporated to locate the best RBF neural network for the underlying problem. The method is compared against other training methods of RBF neural networks on a wide series of classification and regression problems from the relevant literature, with the results being reported.<\/p><p><strong>Published in<\/strong>: <em>Applied Sciences<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2076-3417\/12\/5\/2439\" target=\"_new\" rel=\"noopener\">10.3390\/app12052439<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-24ae4a9\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-24ae4a9\" aria-controls=\"expand-24ae4a9\">\n                        <span class=\"title\">An Improved Controlled Random Search Method<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-24ae4a9\" style=\"display:none\"><div class=\"card-body\"><p>Vasileios Charilogis, Ioannis Tsoulos, Alexandros Tzallas, Nikolaos Anastasopoulos<\/p><p><strong>Abstract<\/strong>:<br \/>A modified version of a common global optimization method, named controlled random search, is presented here. This method is designed to estimate the global minimum of multidimensional symmetric and asymmetric functional problems. The new method modifies the original algorithm by incorporating a new sampling method, a new termination rule, and the periodical application of a local search optimization algorithm to the points sampled. The new version is compared against the original using some benchmark functions from the relevant literature.<br \/><strong>Keywords<\/strong>: controlled random search, global optimization, sampling method, local search optimization, benchmark functions.<\/p><p><strong>Published in<\/strong>: <em>Symmetry<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2073-8994\/13\/11\/1981\" target=\"_new\" rel=\"noopener\">10.3390\/sym13111981<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-aa58226\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-aa58226\" aria-controls=\"expand-aa58226\">\n                        <span class=\"title\">Applying and Comparing LSTM and ARIMA to Predict CO Levels for a Time-Series Measurement in a Port Area<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-aa58226\" style=\"display:none\"><div class=\"card-body\"><p>Evangelos D. Spyrou, Ioannis Tsoulos, Chrysostomos Stylios<\/p><p><strong>Abstract<\/strong>:<br \/>Air pollution is a major problem in the everyday life of citizens, especially air pollution in the transport domain. Ships play a significant role in coastal air pollution, in conjunction with transport mobility in the broader area of ports. As such, ports should be monitored to assess air pollution levels and act accordingly. In this paper, we obtain CO values from environmental sensors that were installed in the broader area of the port of Igoumenitsa in Greece. Initially, we analysed the CO values and identified some extreme values in the dataset that indicated potential events. The dataset was separated into 6-hour intervals, highlighting extremely high values during certain hours. We transformed the dataset into a moving average dataset to reduce the extremely high values. We utilised the univariate long short-term memory (LSTM) machine learning algorithm to predict the time series data collected from the port. Experiments were performed using 100, 1000, and 7000 batches of data, providing results on model loss, root-mean-square error, and mean absolute error. We showed that with a batch size of 7000, LSTM achieved a good prediction outcome. The method was compared with the ARIMA model, and the results demonstrated the effectiveness of the approach.<\/p><p><strong>Published in<\/strong>: <em>Signals<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2624-6120\/3\/2\/15\" target=\"_new\" rel=\"noopener\">10.3390\/signals3020015<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-dc5e23c\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-dc5e23c\" aria-controls=\"expand-dc5e23c\">\n                        <span class=\"title\">Exploring Trade-Offs in Partial Snapshot Implementations<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-dc5e23c\" style=\"display:none\"><div class=\"card-body\"><p>Nikolaos D. Kallimanis, Eleni Kanellou, Charidimos Kiosterakis, Vasiliki Liagkou<\/p><p><strong>Abstract<\/strong>:<br \/>A snapshot object is a concurrent object that consists of m components, each storing a value from a given set. Processes can read\/modify the state of the object by performing Update and Scan operations. An Update operation gives processes the ability to change the value of a component, while a Scan operation returns a \u201cconsistent\u201d view of all the components. In single-scanner snapshot objects, at most one Scan is performed at any given time (whilst supporting many concurrent Update operations). Multi-scanner snapshot objects support multiple concurrent Scan operations at any given time.<\/p><p><strong>Published in<\/strong>: <em>Springer<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-44274-2_8\" target=\"_new\" rel=\"noopener\">10.1007\/978-3-031-44274-2_8<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-769907a\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-769907a\" aria-controls=\"expand-769907a\">\n                        <span class=\"title\">Exploiting Security Issues in Human Activity Recognition Systems (HARSs)<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-769907a\" style=\"display:none\"><div class=\"card-body\"><p>Sofia Sakka, Vasiliki Liagkou, Chrysostomos Stylios<\/p><p><strong>Abstract<\/strong>:<br \/>Human activity recognition systems (HARSs) are vital in a wide range of real-life applications and are a vibrant academic research area. Although they are adopted in many fields, such as the environment, agriculture, and healthcare, and they are considered assistive technology, they seem to neglect the aspects of security and privacy. This problem occurs due to the pervasive nature of sensor-based HARSs. Sensors are devices with low power and computational capabilities, joining a machine learning application that lies in a dynamic and heterogeneous communication environment, and there is no generalized unified approach to evaluate their security\/privacy, but rather only individual solutions. In this work, we studied HARSs in particular and tried to extend existing techniques for these systems considering the security\/privacy of all participating components. Initially, in this work, we present the architecture of a real-life medical IoT application and the data flow across the participating entities. Then, we briefly review security and privacy issues and present possible vulnerabilities of each system layer. We introduce an architecture over the communication layer that offers mutual authentication, solving many security and privacy issues, particularly the man-in-the-middle attack (MitM). Relying on the proposed solutions, we manage to prevent unauthorized access to critical information by providing a trustworthy application.<\/p><p><strong>Published in<\/strong>: <em>Information<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2078-2489\/14\/6\/315\" target=\"_new\" rel=\"noopener\">10.3390\/info14060315<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-6f1d6e2\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-6f1d6e2\" aria-controls=\"expand-6f1d6e2\">\n                        <span class=\"title\">BEC Defender: QR Code-Based Methodology for Prevention of Business Email Compromise (BEC) Attacks<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-6f1d6e2\" style=\"display:none\"><div class=\"card-body\"><p>Anastasios Papathanasiou, George Liontos, Georgios Paparis, Vasiliki Liagkou, Euripides Glavas<\/p><p><strong>Abstract<\/strong>:<br \/>In an era of ever-evolving and increasingly sophisticated cyber threats, protecting sensitive information from cyberattacks such as business email compromise (BEC) attacks has become a top priority for individuals and enterprises. Existing methods used to counteract the risks linked to BEC attacks frequently prove ineffective because of the continuous development and evolution of these malicious schemes. This research introduces a novel methodology for safeguarding against BEC attacks called the BEC Defender. The methodology implemented in this paper augments the authentication mechanisms within business emails by employing a multi-layered validation process, which includes a MAC address as an identity token, QR code generation, and the integration of timestamps as unique identifiers. The BEC-Defender algorithm was implemented and evaluated in a laboratory environment, exhibiting promising results against BEC attacks by adding an extra layer of authentication.<\/p><p><strong>Published in<\/strong>: <em>Sensors<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/1424-8220\/24\/5\/1676\" target=\"_new\" rel=\"noopener\">10.3390\/s24051676<\/a><\/p><\/div><\/div>\n            <\/div><div class=\"card-wrapper \">\n                <div class=\"card-header\">\n                    <a href=\"#expand-4ffb425\" class=\"card-header-button\" aria-expanded=\"false\" data-target=\"#expand-4ffb425\" aria-controls=\"expand-4ffb425\">\n                        <span class=\"title\">Game-Theoretic Power and Rate Control in IEEE 802.11p Wireless Networks<\/span><div class=\"right-icon-group\">\n                <div class=\"normal-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-down-light\"><\/i><\/div>\n                <div class=\"active-icon\"><i aria-hidden=\"true\" class=\"jki jki-chevron-up-light\"><\/i><\/div>\n            <\/div>\n                    <\/a>\n                <\/div>\n                <div class=\"card-expand\" id=\"expand-4ffb425\" style=\"display:none\"><div class=\"card-body\"><p>Evangelos D. Spyrou, Evangelos Vlachos, Chrysostomos Stylios<br \/><br \/><strong>Abstract<\/strong>:<br \/>Optimization of the transmission power and rate allocation is a significant problem in wireless networks with mobile nodes. Due to mobility, the vehicles establishing wireless networks may exhibit severe fluctuations of their link quality, affecting their connection reliability and throughput. In Vehicular Ad-hoc Networks (VANETS), the IEEE 802.11p standard provides a practical metric for the Packet Reception Ratio (PRR), which is related with the transmission power and rate. Finding a global strategy for optimizing PRR for all mobile nodes can be treated as a potential game where each vehicle is considered as a selfish player, aiming to maximise its transmission reliability while rate constraints are satisfied. To this end, we propose a game-theoretic approach that converges to a Nash equilibrium. The main contributions of this work include: (i) identification of the best case equilibrium, for two cases of interference: diminished or kept stable, and (ii) verification of the equilibrium optimality, by showing that the value of stability is 1. Moreover, numerical results exhibiting the ease of the utility function calculation are provided, especially after an SINR level, whereby the utility function is concave and can be solved efficiently in polynomial time.<br \/><br \/><strong>Published in<\/strong>: <em>Electronics<\/em><br \/><strong>DOI<\/strong>: <a href=\"https:\/\/www.mdpi.com\/2079-9292\/11\/10\/1618\" target=\"_new\" rel=\"noopener\">10.3390\/electronics11101618<\/a><\/p><\/div><\/div>\n            <\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Explore Our Latest Research Full Articles, Papers and\u00a0Conference Papers\u00a0 Research Fields Medical Research Medical research plays a pivotal role in advancing our understanding of diseases and developing innovative treatments to improve patient outcomes Industrial Research Industrial research is essential for optimizing production processes, enhancing product quality, and driving innovation in the manufacturing sector Social &#8211; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-369","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Research | EPIRUS XRCENTER<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/xrcenter.project.uoi.gr\/el\/research\/\" \/>\n<meta property=\"og:locale\" content=\"el_GR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research | EPIRUS XRCENTER\" \/>\n<meta property=\"og:description\" content=\"Explore Our Latest Research Full Articles, Papers and\u00a0Conference Papers\u00a0 Research Fields Medical Research Medical research plays a pivotal role in advancing our understanding of diseases and developing innovative treatments to improve patient outcomes Industrial Research Industrial research is essential for optimizing production processes, enhancing product quality, and driving innovation in the manufacturing sector Social &#8211; [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/xrcenter.project.uoi.gr\/el\/research\/\" \/>\n<meta property=\"og:site_name\" content=\"EPIRUS XRCENTER\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/epirusxrcenter\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-02T13:28:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/Epirus-XR-Center-Horizontal-Logo-RGB-Full-Color-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1554\" \/>\n\t<meta property=\"og:image:height\" content=\"476\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0395\u03ba\u03c4\u03b9\u03bc\u03ce\u03bc\u03b5\u03bd\u03bf\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2\" \/>\n\t<meta name=\"twitter:data1\" content=\"30 \u03bb\u03b5\u03c0\u03c4\u03ac\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/research\/\",\"url\":\"https:\/\/xrcenter.project.uoi.gr\/research\/\",\"name\":\"Research | EPIRUS XRCENTER\",\"isPartOf\":{\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/#website\"},\"datePublished\":\"2023-10-10T23:24:01+00:00\",\"dateModified\":\"2025-12-02T13:28:17+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/research\/#breadcrumb\"},\"inLanguage\":\"el\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/xrcenter.project.uoi.gr\/research\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/research\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/xrcenter.project.uoi.gr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Research\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/#website\",\"url\":\"https:\/\/xrcenter.project.uoi.gr\/\",\"name\":\"Epirus XR Center\",\"description\":\"Empowering immersive technologies, research and education in Epirus.\",\"publisher\":{\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/#organization\"},\"alternateName\":\"\u039a\u0395\u0395\u03a0\u0397\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/xrcenter.project.uoi.gr\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"el\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/#organization\",\"name\":\"Epirus XR Center\",\"alternateName\":\"\u039a\u0395\u0395\u03a0\u0397\",\"url\":\"https:\/\/xrcenter.project.uoi.gr\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"el\",\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/Epirus-XR-Center-Horizontal-Logo-No-Subtitle-RGB-Full-Color-1.png\",\"contentUrl\":\"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/Epirus-XR-Center-Horizontal-Logo-No-Subtitle-RGB-Full-Color-1.png\",\"width\":1553,\"height\":473,\"caption\":\"Epirus XR Center\"},\"image\":{\"@id\":\"https:\/\/xrcenter.project.uoi.gr\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/epirusxrcenter\",\"https:\/\/www.instagram.com\/epirus_xr_center\/\",\"https:\/\/www.linkedin.com\/company\/epirus-xr-center\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Research | EPIRUS XRCENTER","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/xrcenter.project.uoi.gr\/el\/research\/","og_locale":"el_GR","og_type":"article","og_title":"Research | EPIRUS XRCENTER","og_description":"Explore Our Latest Research Full Articles, Papers and\u00a0Conference Papers\u00a0 Research Fields Medical Research Medical research plays a pivotal role in advancing our understanding of diseases and developing innovative treatments to improve patient outcomes Industrial Research Industrial research is essential for optimizing production processes, enhancing product quality, and driving innovation in the manufacturing sector Social &#8211; [&hellip;]","og_url":"https:\/\/xrcenter.project.uoi.gr\/el\/research\/","og_site_name":"EPIRUS XRCENTER","article_publisher":"https:\/\/www.facebook.com\/epirusxrcenter","article_modified_time":"2025-12-02T13:28:17+00:00","og_image":[{"width":1554,"height":476,"url":"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/Epirus-XR-Center-Horizontal-Logo-RGB-Full-Color-1.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_misc":{"\u0395\u03ba\u03c4\u03b9\u03bc\u03ce\u03bc\u03b5\u03bd\u03bf\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2":"30 \u03bb\u03b5\u03c0\u03c4\u03ac"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/xrcenter.project.uoi.gr\/research\/","url":"https:\/\/xrcenter.project.uoi.gr\/research\/","name":"Research | EPIRUS XRCENTER","isPartOf":{"@id":"https:\/\/xrcenter.project.uoi.gr\/#website"},"datePublished":"2023-10-10T23:24:01+00:00","dateModified":"2025-12-02T13:28:17+00:00","breadcrumb":{"@id":"https:\/\/xrcenter.project.uoi.gr\/research\/#breadcrumb"},"inLanguage":"el","potentialAction":[{"@type":"ReadAction","target":["https:\/\/xrcenter.project.uoi.gr\/research\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/xrcenter.project.uoi.gr\/research\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/xrcenter.project.uoi.gr\/"},{"@type":"ListItem","position":2,"name":"Research"}]},{"@type":"WebSite","@id":"https:\/\/xrcenter.project.uoi.gr\/#website","url":"https:\/\/xrcenter.project.uoi.gr\/","name":"Epirus XR Center","description":"Empowering immersive technologies, research and education in Epirus.","publisher":{"@id":"https:\/\/xrcenter.project.uoi.gr\/#organization"},"alternateName":"\u039a\u0395\u0395\u03a0\u0397","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/xrcenter.project.uoi.gr\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"el"},{"@type":"Organization","@id":"https:\/\/xrcenter.project.uoi.gr\/#organization","name":"Epirus XR Center","alternateName":"\u039a\u0395\u0395\u03a0\u0397","url":"https:\/\/xrcenter.project.uoi.gr\/","logo":{"@type":"ImageObject","inLanguage":"el","@id":"https:\/\/xrcenter.project.uoi.gr\/#\/schema\/logo\/image\/","url":"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/Epirus-XR-Center-Horizontal-Logo-No-Subtitle-RGB-Full-Color-1.png","contentUrl":"https:\/\/xrcenter.project.uoi.gr\/wp-content\/uploads\/2023\/10\/Epirus-XR-Center-Horizontal-Logo-No-Subtitle-RGB-Full-Color-1.png","width":1553,"height":473,"caption":"Epirus XR Center"},"image":{"@id":"https:\/\/xrcenter.project.uoi.gr\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/epirusxrcenter","https:\/\/www.instagram.com\/epirus_xr_center\/","https:\/\/www.linkedin.com\/company\/epirus-xr-center"]}]}},"_links":{"self":[{"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/pages\/369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/comments?post=369"}],"version-history":[{"count":190,"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/pages\/369\/revisions"}],"predecessor-version":[{"id":5394,"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/pages\/369\/revisions\/5394"}],"wp:attachment":[{"href":"https:\/\/xrcenter.project.uoi.gr\/el\/wp-json\/wp\/v2\/media?parent=369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}