Artificial Intelligence and Machine Learning in Smart City Planning

Covers how to deploy smart solutions for smart cities using artificial intelligence techniques in engineering applications across various sectors

Vedik Basetti (Edited by), Chandan Kumar Shiva (Edited by), Mohan Rao Ungarala (Edited by), Shriram S. Rangarajan (Edited by)

9780323995030, Elsevier Science

Paperback / softback, published 26 January 2023

360 pages
22.9 x 15.2 x 2.3 cm, 0.45 kg

Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques.

1. Smart City Framework
2. Smart City Finance
3. Smart Water Management
4. Smart Education
5. Smart Garbage Management Systems
6. Smart Environment
7. Smart Transportation
8. Tackling Cyber Attacks
9. Smart Parking Systems
10. Smart Health Care
11. Smart Communications

Subject Areas: The environment [RN], Environmental economics [KCN], The self, ego, identity, personality [JMS], Social, group or collective psychology [JMH]