• Anomaly Detection in Traffic Surveillance Videos Using Deep Learning 

      Khan, Sardar Waqar; Hafeez, Qasim; Khalid, Muhammad Irfan; Alroobaea, Roobaea; Hussain, Saddam; Iqbal, Jawaid; Almotiri, Jasem; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022)
      In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and ...
    • Chasing Metaverses: Reflecting on Existing Literature to Understand the Business Value of Metaverses 

      Polyviou, Ariana; Pappas, Ilias (Peer reviewed; Journal article, 2022)
      Metaverses refer to immersive virtual worlds in which people, places, and things of the physical world are represented by their digital representations. The wide adoption of metaverses is expected to widely disrupt the way ...
    • Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS 

      Bharany, Salil; Sharma, Sandeep; Frnda, Jaroslav; Shuaib, Mohammed; Khalid, Muhammad Irfan; Hussain, Saddam; Iqbal, Jawaid; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022)
      Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, ...