Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40808-024-02052-w.pdf
Reference72 articles.
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3. Al-Swaidani AM, Meziab A, Khwies WT et al (2024) Building MLR, ANN and FL models to predict the strength of problematic clayey soil stabilized with a combination of nano lime and nano pozzolan of natural sources for pavement construction. Int J Geo-. https://doi.org/10.1186/s40703-023-00201-1. Eng15:2
4. Alabi RO, Elmusrati M, Leivo I et al (2023) Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP. Sci Rep 13:8984. https://doi.org/10.1038/s41598-023-35795-0
5. Alkayem NF, Shen L, Mayya A et al (2024a) Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives. J Build Eng 83:108369. https://doi.org/10.1016/j.jobe.2023.108369
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