HIGHLIGHTS
- who: Yu-Hsin Hung from the Department of Industrial Engineering and Management, National Yunlin University of Science and Technology have published the research: Developing an Anomaly Detection System for Automatic Defective Productsu2019 Inspection, in the Journal: Processes 2022, 2022, 10, 10, 1476 1476 Processes of 27/07/2022
- what: As a result, this study proposes a real-time anomaly detection system. the standard data analytics procedure. Real-Time Anomaly Detectionfor System This study proposed an approach users to manage anomaly detection. The investigations showed the different deep-learning approach results during the data analytics. This . . .
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