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A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction
(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. ...
Machine learning approach for reducing students dropout rates
(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 ...
Development of the RFID Based Library Management and Anti-Theft System:A Case of East African Community (EAC) Region
(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 ...
An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses
(IEEE, 2023-11-16)
Deep learning-based driver assistance systems (ADAS) have attracted interest from researchers due to their impact on improving vehicle safety and reducing road traffic accidents. In Uganda, road accidents have continued ...
Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN Model
(Pre prints,org, 2023-05-11)
Data scarcity is a significant challenge in the field of Machine Learning (ML), as data
collection can be expensive, time‐consuming, and difficult, particularly in developing countries.
This challenge is exaggerated on ...
Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)
This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium
Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ...
Feature Selection Approach to Improve Malaria Prediction Model’s Performance for High- and Low-Endemic Areas of Tanzania
(Springer Link, 2024-06)
Malaria remains a significant cause of death, especially in sub-Saharan Africa, with about 228
million malaria cases worldwide. Parasitological tests, like microscopic and rapid diagnostic
tests (RDT), are the recommended ...
Predicting customer subscription in bank telemarketing campaigns using ensemble learning models
(Elsevier, 2025-03)
This study investigates the use of ensemble learning models bagging, boosting, and stacking to enhance the accuracy and reliability of predicting customer subscriptions in bank telemarketing campaigns. Recognizing the ...
Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)
This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium
Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ...
Development of a smart ugali cooker
(International Journal of Advanced Technology and Engineering Exploration, 2021-02-21)
Ugali is a thick porridge that is one of the popular staple foods in East Africa. Traditional methods of ugali preparation,
cooking, and consumption are described. Firewood has been used as the primary energy source ...