Overview
- Focuses on the integration AI technologies into the IoT infrastructure
- Covers proceedings of the 1st International Conference on Intelligence of Things (ICIT 2022)
- Provides state-of-the-art knowledge in the field of Intelligence of Things
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 148)
Included in the following conference series:
Conference proceedings info: ICIT 2022.
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Table of contents (40 papers)
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Theoretical Intelligence Analyses
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Intelligence Services and Applications
Other volumes
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Intelligence of Things: Technologies and Applications
Keywords
About this book
This book constitutes the refereed proceedings of the First Conference on Intelligence of Things (ICIT 2022), held in Hanoi, Vietnam, in August 2022. A total of 40 full papers in this book have been rigorously peer-reviewed and selected from over 100 submissions. The papers focused on the intelligence of things (AIoT) studies are organized in the following parts: theoretical intelligence analyses, intelligence services and applications, and intelligence service experiments. This book provides interested students and engineers with comprehensive and cutting-edge studies in the fields.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligence of Things: Technologies and Applications
Book Subtitle: The First International Conference on Intelligence of Things (ICIT 2022), Hanoi, Vietnam, August 17–19, 2022, Proceedings
Editors: Ngoc-Thanh Nguyen, Nhu-Ngoc Dao, Quang-Dung Pham, Hong Anh Le
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-031-15063-0
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
Softcover ISBN: 978-3-031-15062-3Published: 23 August 2022
eBook ISBN: 978-3-031-15063-0Published: 22 August 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XIV, 426
Number of Illustrations: 48 b/w illustrations, 172 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Cyber-physical systems, IoT, Artificial Intelligence