• A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning 

      Kishor, Amit; Chakraborty, Chinmay; Jeberson, Wilson (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog ...
    • Adaptive Deep Learning Detection Model for Multi-Foggy Images 

      Hussein Arif, Zainab; Mahmoud, Moamin; Hameed Abdulkareem, Karrar; Kadry, Seifedine; Abed Mohammed, Mazin; Nasser Al-Mhiqani, Mohammed; Al-Waisy, Alaa S.; Nedoma, Jan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving the type of fog has a substantial enlightening effect on image ...
    • An Event Mesh for Event Driven IoT Applications 

      Berjón, Roberto; Mateos, Montserrat; Beato, M. Encarnación; Fermoso García, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In IoT contexts, software solutions are required to have components located in different environments: mobile, edge, fog or cloud. To design this type of application, event driven architecture (EDA) is used to develop ...