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    Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants 

    Kimei, Erica; Nyambo, Devotha; Mduma, Neema; Kaijage, Shubi (MDPI, 2024-03-06)
    Uncertainty quantification and sensitivity analysis are essential for improving the modeling and estimation of greenhouse gas emissions in livestock farming to evaluate and reduce the impact of uncertainty in input parameters ...
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    Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach 

    Mariki, Martina; Mkoba, Elizabeth; Mduma, Neema (Taylor & Francis online, 2022-01-30)
    Presumptive treatment and self-medication for malaria have been used in limited-resource countries. However, these approaches have been considered unreliable due to the unnecessary use of malaria medication. This study ...
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    A Battery Voltage Level Monitoring System for Telecommunication Towers 

    Uwamahoro, Rahab; Mduma, Neema; Machuve, Dina (Engineering, Technology & Applied Science Research, 2021-12)
    Voltage fluctuations in batteries form a major challenge the telecommunication towers face. These fluctuations mostly occur due to poor management and the lack of a battery voltage level monitoring system. The current paper ...
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    An Ensemble Predictive Model Based Prototype for Student Drop-out in Secondary Schools 

    Mduma, Neema; Kalegele, Khamisi; Machuve, Dina (Journal of Information Systems Engineering & Management, 2019-08-22)
    When a student is absent from school for a continuous number of days as defined by the relevant authority, that student is considered to have dropped out of school. In Tanzania, for instance, drop-out is when a student is ...
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    Enhancing Management of Nutrition Information Using Mobile Application: Prenatal and Postnatal Requirements 

    Mduma, Neema; Kalegele, Khamisi (IST-Africa, 2017)
    Malnutrition contributes to over one half of the deaths of children under age of five years in developing countries and is the single greatest cause of child mortality in Tanzania. Investigations reveal that the issue ...
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    An Integrated Mobile Application for Enhancing Management of Nutrition Information in Arusha Tanzania. 

    Mduma, Neema; Kalegele, Khamisi (International Journal of Computer Science and Information Security, 2015-07)
    Based on the fact that management of nutrition information is still a problem in many developing countries including Tanzania and nutrition information is only verbally provided without emphasis, this study proposes ...
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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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    Automatic Railway Road Crossing (RLC) Traffic Light System for Metric Gauge Railway Network in Tanzania 

    NKUNZIMANA, Libere; Minja, Gilbert; Mariki, Christina; Zirakwiye, Innocent; Mduma, Neema; Dida, Mussa (International Journal of Advances in Scientific Research and Engineering (ijasre), 2021-11)
    The verdict has been established that Railway Level Crossings (RLCs) present a possible risk to roads users. Because of the ever- increasing number of vehicles on the road every day, it was determined that employing ...
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    Mduma, Neema (33)
    Elinisa, Christian (5)Kalegele, Khamisi (5)Machuve, Dina (5)Mkoba, Elizabeth (4)Nyambo, Devotha (4)Dida, Mussa (3)Mariki, Martina (3)Mayo, Flavia (3)Sinde, Ramadhani (3)... View MoreSubjectDeep learning (4)TECHNOLOGY (4)machine learning (3)Mobile application (3)Black sigatoka (2)Classification (2)Convolutional neural network (2)Fusarium wilt (2)Imbalanced learning classification (2)Machine learning (2)... View MoreDate Issued2024 (11)2023 (8)2021 (4)2019 (3)2022 (3)2025 (2)2015 (1)2017 (1)Has File(s)
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