Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65976-8_15
Reference65 articles.
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2. Wudil, Y.S., Al-Osta, M.A., Al-Amoudi, O.S.B., Gondal, M.A.: Integrating laser-induced breakdown spectroscopy and non-linear random forest-based algorithms to predict soil unconfined compressive strength. Environ. Earth Sci. 83, 151 (2024)
3. Sari Ahmed, B., Gadouri, H., Ghrici, M., Harichane, K.: Best-fit models for predicting the geotechnical properties of FA–stabilised problematic soils used as materials for earth structures. Int. J. Pavement Eng. 21(7), 939–953 (2020)
4. Sari-Ahmed, B., Ghrici, M., Harichane, K.: Predicting the UCS of Lime-Stabilized Clayey Soils. Geotech. Eng. 53(3), 00465828 (2022)
5. Harichane, K., Ghrici, M., Kenai, S.: Effect of the combination of lime and natural pozzolana on the compaction and strength of soft clayey soils: a preliminary study. Environ. Earth Sci. 66, 2197–2205 (2012)
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