Data-driven approach to predict the fatigue properties of ferrous metal materials using the cGAN and machine-learning algorithms
DOI:
10.1007/s40436-024-00491-3
Publication Date:
2024-06-03T17:02:00Z
AUTHORS (9)
ABSTRACT
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (40)
CITATIONS (0)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....