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Liquefaction susceptibility using machine learning based on SPT data

Assessing the potential for liquefaction using traditional experimental or empirical analysis procedures is both time-consuming and arduous. Employing a machine learning model that can accurately predict liquefaction potential for a specific site can reduce the time, effort, and associated costs. Th...

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Bibliografische gegevens
Hoofdauteurs: Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Elsevier 2023-11-01
Reeks:Intelligent Systems with Applications
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Online toegang:http://www.sciencedirect.com/science/article/pii/S2667305323001060
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