[PDF]Computational and Machine Learning Tools for Archaeological Site Modeling

Bibliographic Information

• Book Title: Computational and Machine Learning Tools for Archaeological Site Modeling

• Authors: Maria Elena Castiello

• Series Title: Springer Theses

• DOI: https://doi.org/10.1007/978-3-030-88567-0

• Publisher: Springer Cham

• eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

• Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

• Hardcover ISBN: 978-3-030-88566-3Published: 25 January 2022

• Softcover ISBN: 978-3-030-88569-4Due: 25 January 2023

• eBook ISBN: 978-3-030-88567-0Published: 24 January 2022

• Series ISSN: 2190-5053

• Series E-ISSN: 2190-5061

• Edition Number: 1

• Number of Pages: XVIII, 296

• Number of Illustrations: 20 b/w illustrations, 139 illustrations in colour