Machine Learning-Based Prediction of Undrained Shear Strength in Marine Alluvial Clays: A Case Study of Bangkok
| dc.contributor.author | Sai Krishna Akash Ramineni | |
| dc.contributor.author | Zejun Song | |
| dc.contributor.author | Ankit Garg | |
| dc.contributor.author | Viroon Kamchoom | |
| dc.date.accessioned | 2026-05-08T19:26:56Z | |
| dc.date.issued | 2026-4-28 | |
| dc.identifier.doi | 10.1007/s40098-026-01539-w | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/20865 | |
| dc.publisher | Indian geotechnical journal | |
| dc.subject | Geotechnical Engineering and Soil Mechanics | |
| dc.subject | Soil and Unsaturated Flow | |
| dc.subject | Landfill Environmental Impact Studies | |
| dc.title | Machine Learning-Based Prediction of Undrained Shear Strength in Marine Alluvial Clays: A Case Study of Bangkok | |
| dc.type | Article |