An unsupervised deep learning-based online anomaly detection model for mold level in continuous casting process
Fields of Study & Subjects
Fault Detection and Control Systems
Anomaly Detection Techniques and Applications
Supply Chain Resilience and Risk Management
Publication details
- Journal / source
- Journal of Iron and Steel Research International
- Publisher
- Springer Science and Business Media LLC
- Volume
- 33
- Issue
- 2
- Publication date
- 21 January 2026
- Language
- EN