Browsing School of Computing and Informatics Technology (CIT) by Subject "Deep learning"

Now showing items 1-4 of 4

    • Anomaly intrusion detection using deep learning 

      Nabukeera, Lydia (Makerere University, 2022-02)
      As computer networks grow due to massive usage, also network attackers are exploring sophisticated ways to exploit the networks hence causing huge damages and loses. Efforts to eradicate network intrusions are always in ...

    • Deep learning model for honey bee health detection 

      Kwagalakwe, Grace (Makerere University, 2024-09)
      Honey bee pollination plays an important role in the world’s food production. There is there-fore a need to safeguard the ecological balance by protecting honeybees to ensure continued production. One step towards protecting ...

    • Deep learning model for the detection of universal plug and play (UPNP) based attacks in UPNP devices 

      Ntambi, John (Makerere University, 2021-02)
      The Universal Plug and Play (UPnP) protocol is used by several devices to discover and advertise services to other devices in order to establish connections for data sharing transparently. Its simplicity and zero-configuration ...

    • Topic classification for radio monitoring using deep neural networks 

      Mukiibi, Jonathan (Makerere University, 2023)
      In rural communities in Uganda, radio is the main medium of public communication and information exchange. Radio is characterised by talk shows and phone-ins in which people at the grassroots level voice their opinions. ...