Industrial processes and manufacturing systems depend on consistency and accuracy. Unusual data readings, or anomalies, can signal issues like equipment malfunction, faulty components or deteriorating ...
A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...
The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...
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