Artificial Intelligence and Machine Learning in Smart City Planning

Erscheinungsjahr 2023
ISBN: 978-0-323-99503-0
Verlag: William Andrew Publishing

Buch, Englisch, 325 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 580 g

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.

Zielgruppe

<p>Researchers and grad students</p> <p>Practitioners in smart city planning/design</p>

Autoren/Hrsg.

Basetti, Vedik

Shiva, Chandan Kumar

Rangarajan, Shriram S.

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Sozialpsychologie
• Sozialwissenschaften Psychologie Allgemeine Psychologie Differentielle Psychologie, Persönlichkeitspsychologie
• Wirtschaftswissenschaften Volkswirtschaftslehre Umweltökonomie
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik

Inhaltsverzeichnis

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

Über Autor(innen)

Shiva, Chandan Kumar
Chandan Kumar Shiva has completed his BTech in electrical and electronics engineering from Ran Vijay Singh College of Engineering & Technology, Jamshedpur, India. He holds a PhD from the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India. At present, he is Assistant Professor in the Department of Electrical and Electronics Engineering at SR University, Warangal, India. His field of interest comprises artificial intelligent techniques, smart grid, automatic generation control, and power system optimization.

Basetti, Vedik
Vedik Basetti earned his PhD degree from the National Institute of Technology, Hamirpur, India, in 2016. Dr. B. Vedik joined the Department of Electrical and Electronics Engineering, SR University, Warangal, T.S., India, as faculty in 2016, where presently he is working as Associate Professor. His research work has been published in various reputed international journals and international conferences. His research interest includes soft computing techniques, smart grid, smart transmission system, and power system state estimation. Dr. B. Vedik is an IEEE member and a professional member of ACM.

Rangarajan, Shriram S.
Shriram S. Rangarajan is Associate Professor at SR University, Warangal, India. His industrial and R&D experience includes working as Test Engineer at M.S. Kennedy Corporation in New York, Research Associate and Planning Engineer at London Hydro Inc. in Canada, Global Research Consultant at General Electric in Bangalore, and Research Assistant at Duke Energy eGrid-Clemson University Restoration Institute in United States.