• control
• Data Science
• June 22, 2024

Anomaly detection in manufacturing quality control using sensor data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction Anomalies in manufacturing processes can have severe consequences, leading to defective products, loss of revenue, and potential safety hazards. Therefore, it is crucial to detect anomalies in real-time to ensure quality control and…