Abstract: Fault diagnosis in industrial systems remains a critical challenge due to complex operational conditions and the need for high accuracy in real-time applications. Traditional deep learning ...

Abstract: Predictive models for student academic success are often hindered by class imbalance, particularly in identifying students at risk of dropping out. This study evaluates nine machine learning ...