Abstract: Despite the prevalence of reconstruction-based deep learning methods, time-series anomaly detection (TSAD) remains a tremendous challenge. Existing approaches often struggle with limited ...
A production-ready AI vision system for real-time defect detection and classification in manufacturing environments. Achieves >95% accuracy with <100ms latency on edge hardware (NVIDIA Jetson, RTX).
Abstract: We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea ...
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