Abstract: Detecting and diagnosing faults in rotating machines is crucial for ensuring the safety and reliability of modern industrial cyber-physical systems. Traditional data-driven fault diagnosis ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Abstract: The accurate diagnosis of faults in milling machines is important to ensure manufacturing efficiency and minimize downtime. Acoustic emission (AE) signals, known for their transient and high ...