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.
| ISBN: | 9783031088582 |
| Publication date: | 20th September 2022 |
| Author: | D Jude Hemanth |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 368 pages |
| Series: | Advances in Science, Technology & Innovation |
| Genres: |
Machine learning Distribution and logistics management Health systems and services Highway and traffic engineering Artificial intelligence |
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.
Machine Learning Techniques for Smart City Applications features in the following genres: Machine learning, Distribution and logistics management, Health systems and services, Highway and traffic engineering, Artificial intelligence
Paperback, Hardback. £116.99, down from the £129.99 cover price. Not Available.
Machine Learning Techniques for Smart City Applications was written by D Jude Hemanth and published by Springer an imprint of Springer International Publishing
Machine Learning Techniques for Smart City Applications has 368 pages
Yes it is part of Advances in Science, Technology & Innovation series
£116.99, reduced from £129.99. Not Available.