CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural environments.
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| Title: | CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural environments. |
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| Authors: | Yilmaz, Yildiran1 (AUTHOR) yildiran.yilmaz@erdogan.edu.tr, Çakmak, Talip2 (AUTHOR), Ustabaş, İlker2 (AUTHOR) |
| Source: | Scientific Reports. 11/13/2025, Vol. 15 Issue 1, p1-18. 18p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-025-23515-9 |
