Overview
- Focuses on intelligent systems, machine vision, communication, e-learning, and e-business
- Presents proceedings of the third International Conference on Advances in Emerging Trends and Technologies
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 619)
Included in the following conference series:
Conference proceedings info: ICAETT 2022.
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Table of contents (54 papers)
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Artificial Intelligence
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Communications
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e-Learning
Other volumes
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Trends in Artificial Intelligence and Computer Engineering
Keywords
About this book
This book constitutes the proceedings of the 4th International Conference on Advances in Emerging Trends and Technologies (ICAETT 2022), held in Riobamba, Ecuador, on 26–28 October 2022, proudly organized by Facultad de Informática y Electrónica (FIE) at Escuela Superior Politécnica de Chimborazo and supported by GDEON. ICAETT 2022 brings together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:
● Artificial intelligence
● Communications
● e-Learning● AT for engineering applications
● Security
● Technology trends
Editors and Affiliations
Bibliographic Information
Book Title: Trends in Artificial Intelligence and Computer Engineering
Book Subtitle: Proceedings of ICAETT 2022
Editors: Miguel Botto-Tobar, Omar S. Gómez, Raul Rosero Miranda, Angela Díaz Cadena, Washington Luna-Encalada
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-25942-5
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 2023
Softcover ISBN: 978-3-031-25941-8Published: 14 February 2023
eBook ISBN: 978-3-031-25942-5Published: 13 February 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XXI, 721
Number of Illustrations: 63 b/w illustrations, 316 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence