RcAE: A Novel Recursive Reconstruction Framework for Unsupervised Anomaly Detection in Industrial Settings

This ArXiv article presents a novel approach to unsupervised anomaly detection in industrial settings using a recursive reconstruction framework. The study's focus on industrial applications and unsupervised learning makes it potentially valuable for various manufacturing processes.