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Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection

Mehrdad Ehsani, Mobin Ostovari, Shoaib Mansouri, Hamed Naseri, Hamid Jahanbakhsh and Fereidoon Moghadas Nejad

Article (2024)

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Department: Department of Civil, Geological and Mining Engineering
PolyPublie URL: https://publications.polymtl.ca/58113/
Journal Title: Construction and Building Materials (vol. 417)
Publisher: Elsevier
DOI: 10.1016/j.conbuildmat.2024.135331
Official URL: https://doi.org/10.1016/j.conbuildmat.2024.135331
Date Deposited: 30 Apr 2024 12:41
Last Modified: 30 Apr 2024 12:41
Cite in APA 7: Ehsani, M., Ostovari, M., Mansouri, S., Naseri, H., Jahanbakhsh, H., & Nejad, F. M. (2024). Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection. Construction and Building Materials, 417, 17-17. https://doi.org/10.1016/j.conbuildmat.2024.135331

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