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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
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 25. januarja 2022 |
| ISBN13 | 9783030885663 |
| Založniki | Springer Nature Switzerland AG |
| Strani | 296 |
| Dimenzije | 150 × 220 × 20 mm · 907 g |
| Jezik | Nemščina |
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