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Reshaping Geotechnical Engineering with Machine Learning: Theory, Applications, and Innovations
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Reshaping Geotechnical Engineering with Machine Learning: Theory, Applications, and Innovations
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Pendiente de lanzamiento | 1 de octubre de 2026 |
| ISBN13 | 9780443452765 |
| Editores | Elsevier - Health Sciences Division |
| Páginas | 325 |
| Dimensiones | 150 × 220 × 10 mm · 450 g |
| Editor | Kumar, Divesh Ranjan (Post-doctoral fellow, Research Unit in Data Science and Digital Transformation, Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani, Thailand) |
| Editor | Samui, Pijush (Associate Professor, Department of Civil Engineering, National Institute of Technology Patna, Patna, Bihar, India) |
| Editor | Thangavel, Pradeep (Post-Doctoral fellow, Thammasat AI Center, College of Innovation, Thammasat University Bangkok, Thailand) |
| Editor | Wipulanusat, Warit (Associate Professor, Faculty of Engineering, Thammasat University, Thailand,) |
