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 ...
Abstract: Texture surface anomaly detection finds widespread applications in industrial settings. However, existing methods often necessitate gathering numerous samples for model training. Moreover, ...
This project demonstrates the creation of an interactive Splunk dashboard to analyze Apache Web Traffic Logs in JSON format. The dashboard provides real-time insights ...
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).
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