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    • Performance and Communication Cost of Deep Neural Networks in Federated Learning Environments: An Empirical Study 

      Alotaibi, Basmah K.; Khan, Fakhri Alam; Qawqzeh, Yousef; Jeon, Gwanggil; Camacho, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)
      Federated learning, a distributive cooperative learning approach, allows clients to train the model locally using their data and share the trained model with a central server. When developing a federated learning environment, ...
    • Selecting the Appropriate User Experience Questionnaire and Guidance for Interpretation: the UEQ Family 

      Kollmorgen, Jessica; Hinderks, Andreas; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)
      Measuring the user experience (UX) of products, systems and services is individual depending on the research question. On the one hand, the user’s goals and environment play a role in the subjective evaluation. On the other ...
    • Automatic Surveillance of People and Objects on Railway Tracks 

      Martínez Núñez, Domingo; López Hernández, Fernando Carlos; Rainer Granados, J. Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 08/2024)
      This paper describes the development and evaluation of a surveillance system for the detection of people and objects on railroad tracks in real time. Firstly, the paper evaluates several background subtraction techniques ...