Physics-informed and MC dropout-based sequence prediction for cold tandem rolling: Towards rolling schedule presetting and uncertainty quantification
Fields of Study & Subjects
Metallurgy and Material Forming
Microstructure and Mechanical Properties of Steels
Machine Learning in Materials Science
Publication details
- Journal / source
- Measurement
- Publisher
- Elsevier BV
- Volume
- 269
- Pages
- 120833–120833
- Publication date
- 13 February 2026
- Language
- EN