Prediction of Compressive Strength in Fine-Grained Soils Stabilized with a Combination of Various Stabilization Agents and Nano-SiO₂ Using Machine Learning Algorithms

Sadegh Ghavami and Hamed Naseri

Article (2025)

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Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/71113/
Journal Title:	Mathematical and Computational Applications (vol. 30, no. 6)
Publisher:	Multidisciplinary Digital Publishing Institute
DOI:	10.3390/mca30060137
Official URL:	https://doi.org/10.3390/mca30060137
Date Deposited:	23 Dec 2025 14:31
Last Modified:	23 Dec 2025 14:38

Cite in APA 7:	Ghavami, S., & Naseri, H. (2025). Prediction of Compressive Strength in Fine-Grained Soils Stabilized with a Combination of Various Stabilization Agents and Nano-SiO₂ Using Machine Learning Algorithms. Mathematical and Computational Applications, 30(6), 137-137. https://doi.org/10.3390/mca30060137
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