February 27, 2019 article Fatigue damage effect approach by artificial neural network International Journal of Fatigue DOI: 10.1016/j.ijfatigue.2019.02.043 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 67 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 Interpretable Machine Learning Method for Modelling Fatigue Short Crack Growth Behaviour 2024 Metals and Materials International article Engineering Fatigue and fracture mechanics 19 citations 1 result References 0