Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.

Abstract: This study explores AI-powered anomaly detection to secure academic digital library access via Virtual Private Networks (VPNs). A three-model framework One-Class SVM, Isolation Forest, and ...