IEEE

Accuracy-Preserving and Efficient AAKR for Industrial Anomaly Detection Using Explicit and Implicit Truncation Strategies

Abstract: In industrial anomaly detection, the traditional auto-associative kernel regression (AAKR) method suffers from low computational efficiency and interference from distant samples. To address ...
Scientific Research Publishing

Heavy Metal Contamination Assessment in Soils and Surface Waters around an Abandoned Mine Site in Jiko Village, North-Central Nigeria ()

Heavy Metal Contamination Assessment in Soils and Surface Waters around an Abandoned Mine Site in Jiko Village, North-Central ...
IEEE

Anomaly Detection in Industrial Internet of Things: A Graph Learning Approach With Spatiotemporal Interactions

Abstract: In real-world industrial activities, large industrial systems typically have complex network structures composed of multiple devices, where the operating status of devices is reflected by ...