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    A reference machine learning model for prediction of cholera epidemics based-on seasonal weather changes linkages in Tanzania 

    Leo, Judith (NM-AIST, 2020-08)
    The Cholera epidemic remains a public threat throughout history, affecting vulnerable populations living with unreliable water and sub-standard sanitary conditions. Studies have observed that the occurrence of cholera ...
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    Complexity of Epidemics Models: A Case-Study of Cholera in Tanzania 

    Leo, Judith (Springer Nature Switzerland AG., 2022-12-02)
    Timely prediction of Cholera epidemics is essential for preventing and controlling the size of an outbreak. Over the past years, there have been great initiatives in the development of Cholera epidemic models using ...
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    A Review on Development of GIS and m-Health Based Patient Registration System to Enhance Support for Epidemiological Analysis: A Case Study of Tanzania Hospitals 

    Leo, Judith; Michael, Kisangiri; Kalegele, Khamisi ((IJCSIS) International Journal of Computer Science and Information Security, 2015-08)
    Over the past decades, there has been great advances in ICTs, which has led to the evolution and deployment of mobile phone application technology and GIS in the health sector. Despite of the expanded use of advanced ICT ...
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    Early-Warning Dropout Visualization Tool for Secondary Schools: Using Machine Learning, QR Code, GIS and Mobile Application Techniques 

    Leo, Judith (International Journal of Advanced Computer Science and Applications, 2022)
    : Investment in education through the provision of secondary school to the community is geared to develop human capital in Tanzania. However, these investments have been hampered by unacceptable higher rates of school ...
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    Machine Learning Model for Imbalanced Cholera Dataset in Tanzania. 

    Leo, Judith; Luhanga, Edith; Michael, Kisangiri (Hindawi, 2019-07-25)
    Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera ...
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    Unified Architecture for Integrated Health and Environmental Based Model; a Case of Cholera Epidemics 

    Leo, Judith; Michael, Kisangiri (Modern Education and Computer Science Press, 2019-07-08)
    With the recent increase of infectious diseases characterized by epidemic outbreaks whose origin are from environmental factors, the use of environmental variables such as water bodies and weather variables for effective ...
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    Climatology-aware health management information system to enhance cholera epidemic analysis and prediction in Tanzania 

    Leo, Judith; Luhanga, Edith T.; Michael, Kisangiri (International Journal of Advanced Technology and Engineering Exploration (IJATEE), 2019)
    The cholera epidemic remains a public health threat in many developing countries including Tanzania. It affects vulnerable populations living with an unreliable water supply and sub-standard sanitary conditions. Various ...
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    AI for anglophone africa: unlocking its adoption for responsible solutions in academia-private sector 

    Sinde, Ramadhani; Diwani, Salim; Leo, Judith; Kondo, Tabu; Elisa, Noe; Matogoro, Jabhera (Frontiers, 2023-04-11)
    In recent years, AI technologies have become indispensable in social and industrial development, yielding revolutionary results in improving labor efficiency, lowering labor costs, optimizing human resource structure, ...
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    A Deep Learning Model for Classifying Black Sigatoka Disease in Banana Leaves Based on Infection Stages 

    Nyambo, Devotha; Kambo, Edwin; Leo, Judith; Ally, Mussa (IJST, 2024-10-04)
    Objective: This research study aims to develop an efficient deep-learning model to detect and classify stages of Black Sigatoka disease in banana plants. Methods: In this study, deep learning techniques, specifically the ...
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    Design of an Interactive Geo-Location Mobile Application for Civil Societies in East Africa 

    Patrick, Emil; Leo, Judith; Kaijage, Shubi (Scientific Research Publishing Inc, 2021-10-13)
    This paper reports the developed mobile application through the use of ad- vanced technologies such as mobile computing, cloud computing and Global Positioning System (GPS) in order to solve the challenges. The purpose ...
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    Leo, Judith (31)
    Kaijage, Shubi (6)Luhanga, Edith (6)Michael, Kisangiri (6)Bock, Yorick (5)Mdegela, Lawrence (5)Mannens, Erik (4)Municio, Esteban (4)Chaudhari, Ashvinkumar (2)Mbalawata, Isambi (2)... View MoreSubjectEnvironmental factors (3)Machine learning (3)machine learning (3)river floods (3)Banana crop yield (2)Black Sigatoka (2)Cholera epidemics (2)Internet of Things (2)Sensors (2)academia-private sector (1)... View MoreDate Issued2023 (10)2024 (5)2019 (4)2021 (4)2022 (3)2025 (2)2015 (1)2020 (1)Has File(s)
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