Abstract
Abstract Machine learning (ML) has emerged as a powerful tool for prediction of systems behavior in many engineering disciplines. A few applications of ML techniques are available in geotechnical e...
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CITATION STYLE
APA
Jas, K., & Dodagoudar, G. R. (2023). Liquefaction Potential Assessment of Soils Using Machine Learning Techniques: A State-of-the-Art Review from 1994–2021. International Journal of Geomechanics, 23(7). https://doi.org/10.1061/ijgnai.gmeng-7788
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