Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms

Considerable efforts have been made to increase the compressive strength of concrete by incorporating industrial by-products such as recycled aggregates and manufactured sand as partial substitutes for natural materials. However, predicting the compressive strength of concrete remains a challenge du...

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Bibliographic Details
Main Authors: Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal
Format: Article
Language:English
Published: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Croatia 2024-01-01
Series:Advances in Civil and Architectural Engineering
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Online Access:https://hrcak.srce.hr/ojs/index.php/acae/article/view/31592/17184
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