Blar i USN Open Archive på forfatter "Djenouri, Youcef"

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    • Deepfakes: current and future trends 

      Gambín, Ángel Fernández; Yazidi, Anis; Vasilakos, Athanasios; Haugerud, Hårek; Djenouri, Youcef (Peer reviewed; Journal article, 2024)
      Advances in Deep Learning (DL), Big Data and image processing have facilitated online disinformation spreading through Deepfakes. This entails severe threats including public opinion manipulation, geopolitical tensions, ...

    • Design of Reliable Mining Algorithm for Massive Moving Image Data Trajectory 

      Zeng, Youmei; Run, Bo; Djenouri, Youcef (Peer reviewed; Journal article, 2024)
      To acquire precise, dependable, and credible trajectory information from extensive motion image datasets, this study introduces a robust mining algorithm grounded in trajectory extraction for voluminous motion data. The ...

    • 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 ...

    • Ensemble Learning and Pruning for Image Classification in Maritime Management Systems 

      Mesgaribarzi, Niusha (Master thesis, 2024)
      In this thesis, the exploration of how maritime management systems can be optimized is considered, and it also revisits cutting-edge deep learning architectures based on ensemble learning techniques. Within the analysis ...

    • Federated Constrastive Learning and Visual Transformers for Personal Recommendation 

      Belhadi, Asma; Djenouri, Youcef; Andrade, Fabio Augusto de Alcantara; Srivastava, Gautam (Peer reviewed; Journal article, 2024)
      This paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on the one hand, the data confidentiality during the training, by exploring federated learning and trusted ...

    • A graph neural approach for group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)
      Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...

    • Intelligent explainable optical sensing on Internet of nanorobots for disease detection 

      Mesgaribarzi, Niusha; Djenouri, Youcef; Belbachir, Nabil; Michalak, Tomasz; Srivastava, Gautam (Peer reviewed; Journal article, 2024)
      Combining deep learning (DL) with nanotechnology holds promise for transforming key facets of nanoscience and technology. This synergy could pave the way for groundbreaking advancements in the creation of novel materials, ...

    • 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 ...