Anomaly detection in manufacturing is a sophisticated process that involves identifying irregularities or deviations in operational data, which can signify equipment malfunctions, production inefficiencies, or quality defects. In recent years, machine learning (ML) and deep learning (DL) methods have taken center stage in this domain, owing to their ability to process large volumes of complex […]