Browsing Institutt for datateknologi og informatikk by Journals "IEEE Internet of Things Journal"

Now showing items 1-5 of 5

    • AI-Driven Salient Soccer Events Recognition Framework for Next Generation IoT-Enabled Environments 

      Muhammad, Khan; Ullah, Hayat; Obaidat, Muhammad; Ullah, Amin; Munir, Arsalan; Sajjad, Muhammad; Albuquerque, Victor Hugo C. de (Journal article; Peer reviewed, 2021)
      The salient events recognition of soccer matches in next-generation Internet of things (Nx-IoT) environment aims to analyze the performance of players/teams by the sports analytics and managerial staff. The embedded Nx-IoT ...

    • Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0 

      Wu, Yulei; Dai, Hong-Ning; Wang, Hao (Journal article; Peer reviewed, 2020)
      Critical infrastructure systems are vital to underpin the functioning of a society and economy. Due to ever-increasing number of Internet-connected Internet-of-Things (IoTs) / Industrial IoT (IIoT), and high volume of data ...

    • Deep Learning Enhanced Human Activity Recognition for Internet of Healthcare Things 

      Zhou, Xiaokang; Liang, Wei; Wang, Kevin I-Kai; Wang, Hao; Yang, Laurence T.; Jin, Qun (Peer reviewed; Journal article, 2020)
      Along with the advancement of several emerging computing paradigms and technologies, such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of Things (IoT) technologies have been applied ...

    • Deepview: Deep Learning based Users Field of View Selection in 360° Videos for Industrial Environments 

      Irfan, Muhammad; Muhammad, Khan; Sajjad, Muhammad; Malik, Khalid; Alaya Cheikh, Faouzi; Rodrigues, Joel J.P.C.; Albuquerque, Victor Hugo C. de (Peer reviewed; Journal article, 2021)
      The industrial demands of immersive videos for virtual reality/augmented reality applications are crescendo, where the video stream provides a choice to the user viewing object of interest with the illusion of “being there”. ...

    • Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey 

      Motlagh, Naser Hossein; Kortoci, Pranvera; Su, Xiang; Loven, Lauri; Hoel, Hans Kristian; Haugsvær, Sindre Bjerkestrand; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; Tarkoma, Sasu (Peer reviewed; Journal article, 2023)
      Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of air quality data, searching and detecting emission sources, and monitoring ...