Keywords: machine learning models
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Journal Articles
Proceedings of the Institution of Civil Engineers - Engineering Sustainability 1–15.
Published: 15 October 2026
... is essential for saving time, energy and cost. In this study, experimental data were collected from Egyptian literature, resulting in a dataset comprising 195 samples with 14 input variables used to predict compressive strength. Six machine learning models were employed, including categorical boosting...
Includes: Supplementary data

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