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Machine Learning for Data-Centric Geotechnics - Challenges in Geotechnical and Rock Engineering
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Machine Learning for Data-Centric Geotechnics - Challenges in Geotechnical and Rock Engineering
This collection of chapters from specialists presents principles and practices of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics. This book is essential for sophisticated practitioners as well as graduate student.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 29 de julio de 2026 |
| ISBN13 | 9781032886541 |
| Editores | Taylor & Francis Ltd |
| Páginas | 456 |
| Dimensiones | 150 × 220 × 20 mm · 715 g (Peso (estimado)) |
| Editor | Cao, Zi-Jun |
| Editor | Phoon, Kok-Kwang (Singapore University of Technology and Design, Singapore) |
| Editor | Tang, Chong |
