Machine Learning Techniques for Smart City Applications

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.

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

Machine Learning Techniques for Smart City Applications is available in Paperback, Hardback

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 226 pages

Yes it is part of Advances in Science, Technology & Innovation series

£116.99