Advanced Machine Learning Techniques for Predicting the California Bearing Ratio of Soils Stabilized with Cement Kiln Dust

Sadegh Ghavami, Hamed Naseri and Farzad Safi Jahanshahi

Article (2026)

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Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/73585/
Journal Title:	International Journal of Pavement Research and Technology
Publisher:	Springer Science+Business Media
DOI:	10.1007/s42947-026-00698-6
Official URL:	https://doi.org/10.1007/s42947-026-00698-6
Date Deposited:	31 Mar 2026 15:54
Last Modified:	31 Mar 2026 15:54

Cite in APA 7:	Ghavami, S., Naseri, H., & Safi Jahanshahi, F. (2026). Advanced Machine Learning Techniques for Predicting the California Bearing Ratio of Soils Stabilized with Cement Kiln Dust. International Journal of Pavement Research and Technology, 15 pages. https://doi.org/10.1007/s42947-026-00698-6
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