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    Development of Machine Learning Model for in-field Detection and Counting of Whiteflies. 

    Ebiyau, Brian (2022-02-10)
    Whiteflies are a major pest and vector that has greatly affected the yields of cassava production. Whiteflies are sucking insects that feed on the plant sap and in the process transmit or pick up disease causing organisms. ...
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    Artificial neural network design for stability control of an unmanned Aerial Vehicle (UAV). 

    Nahom, Gebremekel (2022-02-23)
    The project is about modelling an intelligent flight control system based on artificial neural network which caters for unexpected flight dynamics during UAV operations. This is to ensure UAV balanced during the flight ...
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    Machine Learning-aided Screening of Lung DIseases in CT images. 

    Omoding, Ronald (Makerere University, 2022-10-11)
    Chest computed tomography (CT) scan image screening for lung diseases is a laborious and time-consuming technique that can only be handled by qualified radiologists. Due to a shortage of experienced radiologists in Uganda, ...
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    Deep Learning for Cervical Cancer Screening. 

    Nuwagaba, Raymond (Makerere University, 2022-03-03)
    Traditional screening of cervical cancer type classification majorly depends on the pathologist’s experience, which also has less accuracy. Colposcopy is a critical component of cervical cancer prevention. In conjunction ...
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    Data compression for an edge-based machine learning model in IOT devices. 

    Kaweesa, Wycliff (Makerere University, 2022-09-21)
    In this project, an IoT device, comprising an AD8232 ECG sensor kit and ESP32 microcontroller, was designed and developed to collect ECG data. Compression using the wavelet transform was then applied on the collected data ...
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    A Machine Learning Strategy for Automatic Detection of High Risk Pregnancies in Uganda 

    Turyahabwa, Mark (Makerere University, 2022-09-09)
    High risk pregnancies have a significant contribution to the increasing maternal and infant mortality rates in Uganda. One of the major parameters for assessing pregnancy risk is the fetal skull circumference of unborn ...
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    Development of a smart portable ultrasound system for real-time guidance of minimally invasive procedures 

    Nabacwa, Joanitta (Makerere University, 2022-10-19)
    Needle visibility is crucial in the diagnosis and treatment of non-communicable diseases. This work focuses on developing a smart portable ultrasound system that uses machine learning techniques to aid needle visibility ...
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    Short Term Load Forecasting Using Machine Learning 

    Ssewanyana, Lawrence Bwogi (Makerere University, 2022-10-10)
    Short term load forecasting is required for power system planning, operation and control. It is utilized by utilities, system operators, power marketers, generators etc. In this project, load forecasting has been done with ...

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    AuthorEbiyau, Brian (1)Kaweesa, Wycliff (1)Nabacwa, Joanitta (1)Nahom, Gebremekel (1)Nuwagaba, Raymond (1)Omoding, Ronald (1)Ssewanyana, Lawrence Bwogi (1)Turyahabwa, Mark (1)Subject
    Machine Learning (8)
    Aided Screening (1)Artificial Intelligence (1)Artificial Neural Network (1)Artificial Neural Networks (1)Cassava (1)Computer Vision (1)Convolution Neural Network (1)Data Compression (1)Load Forecasting (1)... View MoreDate Issued
    2022 (8)

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