Overview
- Presents new technologies and applications in deep learning, artificial intelligence, and robotics
- Includes the results from the 2nd ICDLAIR held in Salerno, Italy
- Intends to be used as a reference by students and researchers
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 249)
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Table of contents (21 papers)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Deep Learning, Artificial Intelligence and Robotics
Book Subtitle: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020
Editors: Luigi Troiano, Alfredo Vaccaro, Roberto Tagliaferri, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, Domenico Parente
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-85365-5
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
Softcover ISBN: 978-3-030-85364-8Published: 04 January 2022
eBook ISBN: 978-3-030-85365-5Published: 03 January 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XI, 232
Number of Illustrations: 27 b/w illustrations, 80 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Artificial Intelligence, Data Engineering, Robotics and Automation