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    A deep learning approach to traffic prediction in emergency situations: the case of COVID-19. 

    Kyeyune, Ashiraf (2022-02-10)
    Mobile communication has become an important part of the day to day lives that it has influenced greatly every sphere of life starting from the education to even the work place. According to cisco,the number of devices ...
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    A deep learning voice recommender system for farmers' questions. 

    Tuhimbise, Augustine (Makerere University, 2022-09)
    In today’s society services centered around voices are gaining popularity. Being able to provide the users with voices they like, to obtain and sustain their attention, is of importance for enhancing the overall experience ...
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    Automatic bone fracture detection in x-ray images using deep learning 

    Sserubombwe, Richard (Makerere University, 2022-10-03)
    Bone fractures are a leading cause of morbidity and mortality worldwide. In Uganda, statistics for the prevalence of bone fractures are unknown, although anecdotal evidence points to a high incidence, mostly arising ...
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    Deep learning for cervical cancer lesion segmentation in mobile colposcopy images 

    Akwero Lapir, Catherine (Makerere University, 2022-10-21)
    Cervical cancer develops in a woman’s cervix, which is the vaginal entrance to the uterus. The primary cause of cervical cancer is persistent infection with high-risk types of human papillomavirus (HPV), an extremely common ...
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    A deep learning Recommender system for Farmer's Questions in Audio 

    Ssempagala, Godfrey Edrine (Makerere University, 2022-09-20)
    As Uganda strives to improve its Food and Nutrition Security (FNS), the role of technology in increasing the reach of agricultural knowledge should not be overlooked. Inorder to fulfill this vision, systems that can transmit ...
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    Development of machine learning and tailored image compression algorithms in bee hive monitoring systems 

    Kyomugisha, Dion Lynattee (Makerere University, 2023-07-10)
    Agriculture cannot function without beekeeping, which offers many advantages including honey production, pollination, and other bee-related products. However, it can be timeconsuming and difficult to manually check the ...
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    Traffic sign recognition system using deep learning. 

    Ogwang, Ronald (2020-12-07)
    Traffic signs are an essential part of any transport system, and failure of detection by the driver may significantly increase the accident risk. Traffic sign detection also plays an important role in autonomous driving. ...
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    A deep learning based real time automatic ticketing system for high speed traffic 

    Mugizi, Bruce (Makerere University, 2024)
    This project focuses on enhancing the enforcement of traffic rules on roads by developing an automated ticketing system using deep learning. Despite law enforcement efforts, enforcing speed limits continues to pose a ...
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    Design and implementation of a portable machine learning-based green coffee bean quality monitoring device 

    Mulungi, Destiny Sanyu (Makerere University, 2024-06)
    The quality of green coffee beans is a crucial factor for the value and competitiveness of coffee in the global market, as well as its health and environmental benefits. However, the conventional methods for quality ...

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    AuthorAkwero Lapir, Catherine (1)Kyeyune, Ashiraf (1)Kyomugisha, Dion Lynattee (1)Mugizi, Bruce (1)Mulungi, Destiny Sanyu (1)Ogwang, Ronald (1)Ssempagala, Godfrey Edrine (1)Sserubombwe, Richard (1)Tuhimbise, Augustine (1)Subject
    Deep learning (9)
    Artificial Intelligence (1)Audio recording (1)Bee keeping (1)Bone fracture (1)Bone fracture detection (1)cervical cancer lesion (1)COVID-19. (1)Image compression algorithm (1)LSTM (1)... View MoreDate Issued2024 (2)2023 (1)2022 (5)2020 (1)

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