Overview
- Presents an in-depth coverage on different variety of applications related with smart cities
- Maximizes reader’s insights about the role of machine learning in different applications of smart cities
- Includes contents with set-up/protocols/procedural flow necessary for research and practical implementations
Part of the book series: Advances in Science, Technology & Innovation (ASTI)
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Table of contents (17 chapters)
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Front Matter
Keywords
About this book
This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.
Editors and Affiliations
About the editor
Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006, and Ph.D. from Karunya University in 2013. His research areas include computational intelligence and image processing. He has authored more than 140 research papers in reputed SCIE indexed International Journals and Scopus Indexed International Conferences. His cumulative impact factor is more than 200. He has published 33 edited books with reputable publishers such as Elsevier, Springer, and IET. Currently, he works as Associate Professor in Department of ECE, Karunya University, Coimbatore, India.
Bibliographic Information
Book Title: Machine Learning Techniques for Smart City Applications: Trends and Solutions
Editors: D. Jude Hemanth
Series Title: Advances in Science, Technology & Innovation
DOI: https://doi.org/10.1007/978-3-031-08859-9
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-08858-2Published: 20 September 2022
Softcover ISBN: 978-3-031-08861-2Published: 20 September 2023
eBook ISBN: 978-3-031-08859-9Published: 19 September 2022
Series ISSN: 2522-8714
Series E-ISSN: 2522-8722
Edition Number: 1
Number of Pages: VIII, 226
Number of Illustrations: 26 b/w illustrations, 153 illustrations in colour
Topics: Machine Learning, Artificial Intelligence, Health Policy, Transportation Technology and Traffic Engineering, Logistics