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Computational and Machine Learning Tools for Archaeological Site Modeling - Springer Theses Maria Elena Castiello 2022 edition
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Computational and Machine Learning Tools for Archaeological Site Modeling - Springer Theses
Maria Elena Castiello
This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences.
296 pages, 139 Illustrations, color; 20 Illustrations, black and white; XVIII, 296 p. 159 illus., 13
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 26, 2023 |
| ISBN13 | 9783030885694 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 296 |
| Dimensions | 150 × 220 × 10 mm · 486 g |
| Language | German |
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