Now showing items 1-2 of 2

    • Anomaly clustering based on correspondence analysis 

      Islam, Humayra (BRAC Univeristy, 2016-06)
      The huge amount of traffic in backbone IP networks produces various kinds of anomalies in data packets. Distinct classifiers have been developed to deal with this anomalous data. These classifiers typically have predefined ...
    • An approach to detect smartphone addiction through activity recognition and app usage behaviour 

      Uz Zaman, Nur; Akther, Afroza; Tabassum, Nowshin; Samrat, Md. Khaliduzzaman Khan; Khan, Swad Mustasin (Brac University, 2023-05)
      The widespread use of smartphones has raised concerns about problematic smartphone use or addiction, which has become a significant issue in today’s society. Despite the recognition of this research area, detecting smartphone ...