• Login
    Search 
    •   NM-AIST Home
    • Computational and Communication Science Engineering
    • Research Articles [CoCSE]
    • Search
    •   NM-AIST Home
    • Computational and Communication Science Engineering
    • Research Articles [CoCSE]
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 33

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction 

    Mduma, Neema; Kalegele, Khamisi; Machuve, Dina (Data Science Journal, 2019-04-17)
    School dropout is absenteeism from school for no good reason for a continuous number of days. Addressing this challenge requires a thorough understanding of the underlying issues and effective planning for interventions. ...
    Thumbnail

    Machine learning approach for reducing students dropout rates 

    Mduma, Neema; Kalegele, Khamisi; Machuve, Dina (International Journal of Advanced Computer Research, 2019-05-06)
    serious issue in developing countries. On the other hand, machine learning techniques have gained much attention on addressing this problem. This paper, presents a thorough analysis of four supervised learning classifiers ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    Thumbnail

    Poultry diseases diagnostics models using deep learning 

    Machuve, Dina; Nwankwo, Ezinne; Mduma, Neema; Jimmy, Mbelwa (Frontiers in Artificial Intelligence, 2022-08-01)
    Coccidiosis, Salmonella, and Newcastle are the common poultry diseases that curtail poultry production if they are not detected early. In Tanzania, these diseases are not detected early due to limited access to agricultural ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    • 1
    • 2
    • 3
    • 4

    Nelson Mandela-AIST copyright © 2021  DuraSpace
    Theme by 
    Atmire NV
     

     

    Browse

    All PublicationsCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Discover

    Author
    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)
    Yes (33)

    Nelson Mandela-AIST copyright © 2021  DuraSpace
    Theme by 
    Atmire NV