.wpv-custom-search-filter[data-toolset-views-custom-search-filter="73ee5440ee4b4e793e0c48f4bdf2fe1b"] label, .wpv-custom-search-filter[data-toolset-views-custom-search-filter="73ee5440ee4b4e793e0c48f4bdf2fe1b"] .editor-rich-text__editable { font-size: 14px;line-height: 1.3em; } .wpv-pagination-nav-links[data-toolset-views-view-pagination-block="d07262f44535b3619950c54b7126577c"] { text-align: left;justify-content: flex-start; } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] { grid-template-columns: minmax(0, 0.25fr) minmax(0, 0.25fr) minmax(0, 0.25fr) minmax(0, 0.25fr);grid-auto-flow: row } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(4n + 1) { grid-column: 1 } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(4n + 2) { grid-column: 2 } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(4n + 3) { grid-column: 3 } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(4n + 4) { grid-column: 4 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(4n + 1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(4n + 2) { grid-column: 2 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(4n + 3) { grid-column: 3 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(4n + 4) { grid-column: 4 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .js-wpv-loop-wrapper > .tb-grid { grid-template-columns: minmax(0, 0.25fr) minmax(0, 0.25fr) minmax(0, 0.25fr) minmax(0, 0.25fr);grid-auto-flow: row } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .tb-masonry { grid-template-columns: minmax(0, 1fr) minmax(0, 1fr) minmax(0, 1fr) minmax(0, 1fr);grid-column-gap: 25px; } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .tb-masonry .tb-brick__content { padding: 0 0 25px 0; } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .wpv-collage { grid-column-gap: 15px;grid-row-gap: 15px; } .wpv-pagination-nav-links[data-toolset-views-view-pagination-block="84b7050526b0038e0ed318fca4424ff8"] { text-align: left;justify-content: flex-start; } .wpv-block-loop-item[data-toolset-views-view-template-block="06b7f78bdae43e8e36609f783e27d333"] { padding: 20px 20px 5px 20px;border: 1px solid rgba( 0, 0, 0, 0.25 ); } .tb-button[data-toolset-blocks-button="7168e018943cd4f36d0492a3ebcf79c0"] { text-align: left; } .tb-button[data-toolset-blocks-button="7168e018943cd4f36d0492a3ebcf79c0"] .tb-button__link { border-radius: 9px;padding: 8px 15px 8px 15px;font-size: 13px; } .tb-button[data-toolset-blocks-button="7168e018943cd4f36d0492a3ebcf79c0"] .tb-button__icon { font-family: dashicons; } [data-toolset-blocks-image="49a338d072a9500f117342e35f989794"] { max-width: 100%; } .tb-field[data-toolset-blocks-field="81594c1512db0dfe0512235f6c4c3732"] { font-size: 12px;font-style: italic;line-height: 14px;text-align: left; } h4.tb-heading[data-toolset-blocks-heading="95f2300b1bca3ef3e4feab0fade6011a"]  { line-height: 1.4em; } .wpv-custom-search-filter-reset[data-toolset-views-custom-search-reset="a1dc8134308f9a21e6b46913f7ff7caa"] { text-align: left; } .wpv-custom-search-filter-reset[data-toolset-views-custom-search-reset="a1dc8134308f9a21e6b46913f7ff7caa"] .wpv-reset-trigger { margin-left: 0;padding-left: 0; } .wpv-custom-search-filter-submit[data-toolset-views-custom-search-submit="7db07e37ce56053d49330612025445e6"] { text-align: left; } .wpv-custom-search-filter-submit[data-toolset-views-custom-search-submit="7db07e37ce56053d49330612025445e6"] .wpv-submit-trigger { margin-top: 20px; } .wpv-custom-search-filter[data-toolset-views-custom-search-filter="83dc5ac0c6596abe6e742ec06d31da5a"] label, .wpv-custom-search-filter[data-toolset-views-custom-search-filter="83dc5ac0c6596abe6e742ec06d31da5a"] .editor-rich-text__editable { font-size: 13px; } .wpv-custom-search-filter[data-toolset-views-custom-search-filter="4e50c2b2c4ba9aebe2a6659cda2d0e92"] label, .wpv-custom-search-filter[data-toolset-views-custom-search-filter="4e50c2b2c4ba9aebe2a6659cda2d0e92"] .editor-rich-text__editable { font-size: 14px;line-height: 1.3em; } @media only screen and (max-width: 781px) { .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] { grid-template-columns: minmax(0, 0.3333fr) minmax(0, 0.3333fr) minmax(0, 0.3333fr);grid-auto-flow: row } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(3n + 1) { grid-column: 1 } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(3n + 2) { grid-column: 2 } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] > .tb-grid-column:nth-of-type(3n + 3) { grid-column: 3 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(3n + 1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(3n + 2) { grid-column: 2 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] > .tb-grid-column:nth-of-type(3n + 3) { grid-column: 3 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .js-wpv-loop-wrapper > .tb-grid { grid-template-columns: minmax(0, 0.3333fr) minmax(0, 0.3333fr) minmax(0, 0.3333fr);grid-auto-flow: row } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .tb-masonry { grid-template-columns: minmax(0, 1fr) minmax(0, 1fr) minmax(0, 1fr);grid-column-gap: 25px; } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .tb-masonry .tb-brick__content { padding: 0 0 25px 0; }  } @media only screen and (max-width: 599px) { .wpv-custom-search-filter[data-toolset-views-custom-search-filter="73ee5440ee4b4e793e0c48f4bdf2fe1b"] label, .wpv-custom-search-filter[data-toolset-views-custom-search-filter="73ee5440ee4b4e793e0c48f4bdf2fe1b"] .editor-rich-text__editable { font-size: 15px; } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"] { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .tb-grid[data-toolset-blocks-grid="452241324ee058d747a99c2bd087c08d"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .js-wpv-loop-wrapper > .tb-grid { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .tb-masonry { grid-template-columns: minmax(0, 1fr) minmax(0, 1fr);grid-column-gap: 25px; } .wpv-view-output[data-toolset-views-view-editor="2fa6d0fbae04cbdf062c67dd83a546a7"] .tb-masonry .tb-brick__content { padding: 0 0 25px 0; } .wpv-custom-search-filter[data-toolset-views-custom-search-filter="4e50c2b2c4ba9aebe2a6659cda2d0e92"] label, .wpv-custom-search-filter[data-toolset-views-custom-search-filter="4e50c2b2c4ba9aebe2a6659cda2d0e92"] .editor-rich-text__editable { font-size: 15px; }  } 
Predict COVID19 at the early stage before appearing symptom by using a wearable device (VTLAB) and Machine Learning (ML)
Santé
Procédure Opérationnelle Normalisée en réalité augmentée pour les instruments et les équipements scientifiques.
Fabrication
Projet de traçabilité de lots en usine et dans la cour
Fabrication, Villes intelligentes et IOT
Real-time distributed audio mixing via wireless mobile app, includes recording
Télécommunication et TI
Real-Time Robot Navigation and Localisation based on 5G and Node-based system
Villes intelligentes et IOT
Recommandations contextuelles utilisant les données de plusieurs sources en temps réel
Cyber sécurité / Fin-tech
Secure software Platform for Unmanned Aerial System (UAS) Traffic Management (UTM) – NavTrack
Transport et mobilité
