Advanced Machine Learning Techniques for Predicting Compaction and Strength Characteristics of Cement Kiln Dust-Stabilized Soils

Sadegh Ghavami and Hamed Naseri

Article (2026)

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Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/76157/
Journal Title:	Transportation Infrastructure Geotechnology (vol. 13, no. 4)
Publisher:	Springer Science+Business Media
DOI:	10.1007/s40515-026-00838-2
Official URL:	https://doi.org/10.1007/s40515-026-00838-2
Date Deposited:	27 Apr 2026 16:30
Last Modified:	27 Apr 2026 16:30

Cite in APA 7:	Ghavami, S., & Naseri, H. (2026). Advanced Machine Learning Techniques for Predicting Compaction and Strength Characteristics of Cement Kiln Dust-Stabilized Soils. Transportation Infrastructure Geotechnology, 13(4), 84 (23 pages). https://doi.org/10.1007/s40515-026-00838-2
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