Comparative Analysis of Machine Learning Techniques for Prediction of the Compressive Strength of Field Concrete

The determination of the concrete compressive strength remains a challenging task in the concrete industry. Machine learning (ML) algorithms offer an alternative and this study presents a comparative analysis of five ML regression models; Gradient Boosting (GB), Random Forest (RF), Decision Tree (DT...

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