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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Veröffentlicht in:	Advances in Engineering and Intelligence Systems Jg. 4; H. 1; S. 21 - 37
Hauptverfasser:	Samuel Keown, Dylan O’Dwyer
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bilijipub publisher 01.12.2025
Schlagworte:	compressive strength dingo optimization algorithm giant trevally optimizer least square support vector regression recycled aggregate concrete
ISSN:	2821-0263
Online-Zugang:	Volltext
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