• 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 ...
    • Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm 

      Yannibelli, Virginia; Hirsch, Matías; Toloza, Juan; Majchrzak, Tim A.; Zunino, Alejandro; Mateos, Cristian (Peer reviewed; Journal article, 2023)
      Dew computing aims to minimize the dependency on remote clouds by exploiting nearby nodes for solving non-trivial computational tasks, e.g., AI inferences. Nowadays, smartphones are good candidates for computing nodes; ...