Hence, the authors distinguish between what they call “traditional” anomaly detection and “deep” anomaly detection (p ... compute efficiencies and performances for supervised machine learning models ...

Abstract: Failure detection in rotating machines is critical for reducing maintenance costs, economic losses, and safety-related accidents. Deep ... machine anomaly detection methodology that ...

Early detection remains crucial for timely intervention. This study aimed to identify clinically relevant predictors of pancreatic cancer using a supervised machine learning approach ... logistic ...