Comparative analysis of flexural strength prediction in SFRC using frequentist, Bayesian, and Machine Learning approaches
Author(s): |
Ángel de la Rosa
Jose Sainz-Aja Isaac Rivas Gonzalo Ruiz Diego Ferreño |
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Medium: | journal article |
Language(s): | English |
Published in: | Case Studies in Construction Materials, December 2024, v. 21 |
Page(s): | e03822 |
DOI: | 10.1016/j.cscm.2024.e03822 |
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10801039 - Published on:
10/11/2024 - Last updated on:
10/11/2024