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Machine Learning for Data-Centric Geotechnics - Challenges in Geotechnical and Rock Engineering
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.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| 発売予定 | 2026年8月25日 |
| ISBN13 | 9781032886541 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 456 |
| 寸法 | 150 × 220 × 20 mm · 715 g (重量（概算）) |
| 編集者 | Cao, Zi-Jun |
| 編集者 | Phoon, Kok-Kwang (Singapore University of Technology and Design, Singapore) |
| 編集者 | Tang, Chong |
