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Data Balancing Techniques for Predicting Student Dropout Using Machine Learning
(MDPI, 2023-02-27)
Predicting student dropout is a challenging problem in the education sector. This is due to an imbalance in student dropout data, mainly because the number of registered students is always higher than the number of dropout ...
Updating “machine learning imagery dataset for maize crop: A case of Tanzania” with expanded data to cover the new farming season
(Elsevier Inc., 2024-03-23)
Maize Lethal Necrosis (MLN) and Maize Streak Virus (MSV)
are among maize diseases which affect productivity in Tan-
zania and Africa at large. These diseases can be detected
early for timely interventions and minimal ...