Overview
- Presents recent research in the field of data science and mobile technologies
- Serves as a reference resource for researchers and practitioners in academia and industry
- Written by experts in the field
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1029)
Included in the following conference series:
Conference proceedings info: CITISIA 2022.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Keywords
Table of contents (85 papers)
-
Societal Impact Using Novel Neural Network Architectures and Machine Learning Algorithms
-
Mixed Reality Approaches for Real-World Applications
-
Hybrid Data Security Models for Smart Society
Other volumes
-
Innovative Technologies in Intelligent Systems and Industrial Applications
Editors and Affiliations
Bibliographic Information
Book Title: Innovative Technologies in Intelligent Systems and Industrial Applications
Book Subtitle: CITISIA 2022
Editors: Subhas Chandra Mukhopadhyay, S.M. Namal Arosha Senanayake, P.W. Chandana Withana
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-031-29078-7
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
Hardcover ISBN: 978-3-031-29077-0Published: 05 October 2023
Softcover ISBN: 978-3-031-29080-0Due: 18 October 2024
eBook ISBN: 978-3-031-29078-7Published: 03 October 2023
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XIX, 1009
Number of Illustrations: 76 b/w illustrations, 349 illustrations in colour
Topics: Data Engineering, Cyber-physical systems, IoT, Professional Computing