• Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles 

      Djenouri, Youcef; Belbachir, Nabil; Michalak, Tomasz; Belhadi, Asma; Srivastava, Gautam (Peer reviewed; Journal article, 2024)
      We introduce an innovative methodology for the identification of vehicular collisions within Internet of Vehicles (IoV) applications. This approach combines a knowledge base system with deep learning for model selection ...
    • Shapley visual transformers for image-to-text generation 

      Belhadi, Asma; Djenouri, Youcef; Belbachir, Nabil; Michalak, Tomasz; Srivastava, Gautam (Peer reviewed; Journal article, 2024)
      In the contemporary landscape of the web, text-to-image generation stands out as a crucial information service. Recently, deep learning has emerged as the cutting-edge methodology for advancing text-to-image generation ...
    • Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things? 

      Belhadi, Asma; Djenouri, Djamel; Djenouri, Youcef; Belbachir, Nabil; Srivastava, Gautam (IEEE Transactions on Computational Social Systems;, Peer reviewed; Journal article, 2023)
      Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT) methods that enable knowledge discovery and help solving interoperability problems. The semantic modeling of S-WoT is the main emphasis ...
    • Spatio-temporal visual learning for home-based monitoring 

      Djenouri, Youcef; Belbachir, Nabil; Cano, Alberto; Belhadi, Asma (Peer reviewed; Journal article, 2024)
      This paper introduces a novel concept for Home-based Monitoring (HM) that enables robust analysis and understanding of activities towards improved caring and safety. Spatio-Temporal Visual Learning for HM (STVL-HM) is a ...