October 11, 2024 article Open access Deep Learning-Based Fatigue Strength Prediction for Ferrous Alloy Processes DOI: 10.3390/pr12102214 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 11 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship 2020 Mechanics of Materials article Engineering Fatigue and fracture mechanics Open access 39 citations 1 result