Overview
- Includes proceedings of the International Conference on Digital Technologies and Applications
- Highlights the latest innovations in digital technologies and their applications in various interdisciplinary areas
- Has written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 455)
Included in the following conference series:
Conference proceedings info: ICDTA 2022.
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About this book
This book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 22), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 28–29 January 2022. Highlighting the latest innovations in digital technologies as: Artifiscial Intelligence, Internet of things, Embedded systems, Network Technology, information processing and their applications in several areas as hybrid vehicles, renewable energy, Mechatronics, Medicine… The respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.
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Keywords
Table of contents (85 papers)
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Artificial Intelligence, Machine Learning and Data Analysis
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Internet of Things, Blockchain and Security and Network Technology
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Web-Based Techniques and E-learning
Other volumes
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Digital Technologies and Applications
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Digital Technologies and Applications
Editors and Affiliations
Bibliographic Information
Book Title: Digital Technologies and Applications
Book Subtitle: Proceedings of ICDTA’22, Fez, Morocco, Volume 2
Editors: Saad Motahhir, Badre Bossoufi
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-02447-4
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: 978-3-031-02446-7Published: 06 May 2022
eBook ISBN: 978-3-031-02447-4Published: 05 May 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XX, 846
Number of Illustrations: 86 b/w illustrations, 405 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence