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A Comprehensive Study on Fatigue Strength Prediction of a Broad Range of Steels Using Machine Learning

Crossref DOI link: https://doi.org/10.1007/s11665-025-12006-7

Published Online: 2025-09-15

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Quraishy, Mohammed Shahbaz

Kundu, Tarun Kumar
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Text and Data Mining valid from 2025-09-15

Version of Record valid from 2025-09-15
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Article History

Received: 28 June 2024

Revised: 19 May 2025

Accepted: 5 July 2025

First Online: 15 September 2025