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…
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