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    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 ...
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    Automated intestinal parasite detection in stool samples using custom convolutional neural networks 

    Rwakazooba, Ezra Aliija (Makerere University, 2022-03-10)
    Intestinal parasitic infections can cause serious health problems with relatively high infections in the developing world. Microscopy of stool remains the gold standard method for the diagnosis of intestinal parasites. ...
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    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 ...
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    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. ...

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    AuthorMukiibi, Jonathan (1)Nabukeera, Lydia (1)Ntambi, John (1)Rwakazooba, Ezra Aliija (1)Subject
    Deep learning (4)
    Anomaly intrusion detection (1)automated Diagnosis (1)Convolutional Neural Networks (1)Low resource languages (1)machine learning (1)Radio mining (1)Speech recognition (1)Topic classification (1)... View MoreDate Issued2023 (1)2022 (2)2021 (1)

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