Enhancing Compressive Strength Prediction in Recycled Aggregate Concrete through Robust Hybrid Machine Learning Approaches

This research study delves into the domain of civil engineering, specifically focusing on the prediction of compressive strength (f'c) in Recycled Aggregate Concrete (RAC). As the construction industry seeks sustainable solutions, RAC has gained prominence due to its environmentally friendly na...

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Vydané v:	Advances in Engineering and Intelligence Systems Ročník 4; číslo 1; s. 21 - 37
Hlavní autori:	Samuel Keown, Dylan O’Dwyer
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bilijipub publisher 01.12.2025
Predmet:	compressive strength dingo optimization algorithm giant trevally optimizer least square support vector regression recycled aggregate concrete
ISSN:	2821-0263
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