Improving the experience of machine learning in compressive strength prediction of industrial concrete considering mixing proportions, engineered ratios and atmospheric features
Auteur(s): |
Muhammad Zeshan Akber
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Construction and Building Materials, septembre 2024, v. 444 |
Page(s): | 137884 |
DOI: | 10.1016/j.conbuildmat.2024.137884 |
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10793648 - Publié(e) le:
01.09.2024 - Modifié(e) le:
01.09.2024