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    An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses 

    Ziryawulawo, Ali; Mduma, Neema; Lyimo, Martine; Mbarebaki, Adonia; Madanda, Richard; Sam, Anael (IEEE, 2023-11-16)
    Deep learning-based driver assistance systems (ADAS) have attracted interest from researchers due to their impact on improving vehicle safety and reducing road traffic accidents. In Uganda, road accidents have continued ...
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    Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN Model 

    Nyambo, Devotha; Mduma, Neema; Sinde, Ramadhani; Lyimo, Tumaini (Pre prints,org, 2023-05-11)
    Data scarcity is a significant challenge in the field of Machine Learning (ML), as data collection can be expensive, time‐consuming, and difficult, particularly in developing countries. This challenge is exaggerated on ...
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    A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language 

    Mlawa, Filbert; Mkoba, Elizabeth; Mduma, Neema (Engineering, Technology & Applied Science Research, 2023-06-02)
    The recorded cases of corona virus (COVID-19) pandemic disease are millions and its mortality rate was maximized during the period from April 2020 to January 2022. Misinformation arose regarding this threat, which spread ...
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    Machine learning model for predicting Peste des Petits Ruminants 

    Nyambo, Devotha; Ngulumbi, Nguse; Mduma, Neema; Sinde, Ramadhani; Lyimo, Tumaini (IEEE, 2023-11-16)
    Peste des petits ruminants (PPR) is a viral disease that affects small ruminants and is prevalent in many developing countries, particularly in Africa and Asia. It can spread through direct contact, air, and contaminated ...
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    A Deep Learning Model for Predicting Stock Prices in Tanzania 

    Joseph, Samuel; Mduma, Neema; Nyambo, Devotha (Engineering, Technology & Applied Science Research, 2023-04-02)
    Stock price prediction models help traders to reduce investment risk and choose the most profitable stocks. Machine learning and deep learning techniques have been applied to develop various models. As there is a lack ...
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    Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania 

    Mduma, Neema; Laizer, Hudson (Elsevier, 2023-03-31)
    Maize is one of the most important staple food and cash crops that are largely produced by majority of smallholder farmers throughout the humid and sub-humid tropic of Africa. Despite its significance in the household food ...
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    Dataset of banana leaves and stem images for object detection, classification and segmentation: A case of Tanzania 

    Mduma, Neema; Leo, Judith (Elsevier, 2023-06-16)
    Banana is among major crops cultivated by most smallholder farmers in Tanzania and other parts of Africa. This crop is very important in the household economy as well as food security since it serves as both food and cash ...
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    Data Balancing Techniques for Predicting Student Dropout Using Machine Learning 

    Mduma, Neema (MDPI, 2023-02-27)
    Predicting student dropout is a challenging problem in the education sector. This is due to an imbalance in student dropout data, mainly because the number of registered students is always higher than the number of dropout ...

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    Author
    Mduma, Neema (8)
    Nyambo, Devotha (3)Lyimo, Tumaini (2)Sinde, Ramadhani (2)Joseph, Samuel (1)Laizer, Hudson (1)Leo, Judith (1)Lyimo, Martine (1)Madanda, Richard (1)Mbarebaki, Adonia (1)... View MoreSubjectmachine learning (2)Autonomous Vehicle (1)Banana (1)Black Sigatoka (1)Blind Spot Detection (1)COVID-19 pandemic (1)Dar es Salaam stock exchange (1)Data sampling (1)data synthesis (1)Deep Learning (1)... View MoreDate Issued
    2023 (8)
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