Abstract: The increasing variety of products has resulted in a rise in production errors, primarily due to more complexity in manufacturing processes. This paper proposes a data-driven inline ...

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 ...