Now showing items 1-5 of 5
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 ...
An Ensemble Predictive Model Based Prototype for Student Drop-out in Secondary Schools
(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 ...
Poultry diseases diagnostics models using deep learning
(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 ...
A Battery Voltage Level Monitoring System for Telecommunication Towers
(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 ...