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    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. ...
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    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 ...
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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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    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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    Development of the RFID Based Library Management and Anti-Theft System:A Case of East African Community (EAC) Region 

    Irankunda, Deo; Sinde, Ramadhani; Mduma, Neema; Dida, Musa (International Journal of Advances in Scientific Research and Engineering, 2021-05)
    Radio Frequency Identification (RFID) Systems are becoming very useful in our daily life due to its advantages such as reduction of human error, theft prevention, time consuming reduction, the auto identification ...
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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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    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 ...

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    Mduma, Neema (8)
    Kalegele, Khamisi (5)Machuve, Dina (4)Dida, Musa (1)Irankunda, Deo (1)Jimmy, Mbelwa (1)Mariki, Martina (1)Mkoba, Elizabeth (1)Nwankwo, Ezinne (1)Sinde, Ramadhani (1)SubjectImbalanced learning classification (2)Machine Learning (ML) (2)Agriculture (1)Anti-Theft (1)Dataset (1)Deep learning (1)feature engineering experiment (1)Image classification (1)Library Management System (1)machine learning (1)... View MoreDate Issued2019 (3)2022 (2)2015 (1)2017 (1)2021 (1)Has File(s)
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