Handbook of Artificial Intelligence for Smart City Development (eBook, ePUB)

Management Systems and Technology Challenges
Redaktion: Makkar, Sandhya; Pal, Arindam; Chakrabortty, Ripon Kumar; Ravindran, Gobinath

• Format: ePub

Produktbeschreibung

This handbook explores smart cities of the future, provides an understanding of their development and management systems, and discusses the technology challenges. It also discusses why and how humankind can benefit from them.

Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges covers the whole journey of the development of smart cities, from the foundations to the usage of technologies, including the challenges and issues that policymakers and technologists may face during the concept, development, management, and implementation stage. The book also covers sustainable strategies and safety measures and offers real-life cases and advancements in manufacturing approaches for smart cities. The book includes upcoming AI technologies such as big data analytics, blockchain, machine learning, fault diagnostics, and a lot more.

This handbook is intended to appeal to readers from industry and research. The book is also meant for academicians and students from across many disciplines. Moreover, this book is a medium for consultants, government agencies, and policymakers to grapple with topics and perspectives outside their lane

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 16. Juni 2025
• Englisch
• ISBN-13: 9781040405543
• Artikelnr.: 73917812

Autorenporträt

Dr. Sandhya Makkar is working as Senior Lecturer of Data Analytics in the Department of Digital Analytics & Technologies at Sheffield Hallam University, United Kingdom. Before that, she worked as Area Head for the Department of Operations & Analytics at Lal Bahadur Shastri Institute of Management, Delhi, India. She has more than 15 years of academic and research experience in Optimization, Machine Learning & Big Data Analytics. She remained first class throughout her academic career. She has authored or co-authored numerous research articles that are published in international journals, books and conference proceedings. She is also appointed as Book Series Editor with CRC Press, Taylor and Francis Group. She is also involved in innovations & patent development. See here for more details https://sites.google.com/view/sandhyamakkar/home Dr.R. Gobinath is presently serving as Professor and Head of the Department, Civil Engineering of SR University, Telangana, India and also a member of Center for Construction Materials and Methods division. He completed his PhD in the field of Environmental Geotechnology and Disaster Management from Center for Disaster Management and Mitigation, VIT, Vellore, M.E in Environmental Management from College of Engineering, Guindy, Anna University and BE in Civil engineering from Bharathiar University. He had handled several under graduate course in Civil and Environmental engineering including Project management, smart materials and structures, Geosynthetics, Engineering Mechanics etc and also presently handling elective courses related to Disaster Management and Intellectual Property rights in various Universities. His research interests includes Sustainable materials, Construction Materials, Landslide mitigation and Management, Soil Bioengineering, Engineering Education, Geotechnology, Environmental Geotechnology, Sustainable Development, Sustainable construction technologies, he had handled several projects related to this domains in various levels. He also had executed good number of consultancy projects related to Geotechnical and environmental engineering for various organisations. His research profile is available at www.researchid.co/gobinathdpi Dr Ripon K. Chakrabortty (Senior Member, IEEE) is an Assistant Professor in Systems Engineering & Decision Analytics at the School of Engineering & Information Technology, UNW Canberra, Australia. He is the team leader and founder of 'The Decision Support & Analytics Research Group' at the School of Engineering & Information Technology, UNW Canberra, Australia. He serves as the program coordinator for the Master of Decision Analytics & Master of Engineering at UNSW Canberra. He has written two book chapters and over 170 technical journal and conference papers in multiple prestigious venues. His research interest covers a wide range of topics in Operations Research, Project Management, Supply Chain Management, Artificial Intelligence, and Information Systems Management. Many organisations, such as the Department of Defence and the Commonwealth Government of Australia, have funded his research programs. Arindam Pal is a Senior Research Scientist at Data61 in Commonwealth Scientific and Industrial Research Organisation (CSIRO), and a Conjoint Senior Lecturer in the School of Computer Science and Engineering at UNSW Sydney. His research interests are in Algorithms, Artificial Intelligence, Data Science, Optimization, and Machine Learning. He works on business and research problems of CSIRO, and collaborates with faculty members of universities, both in Australia and abroad. He earned his PhD in Computer Science from Indian Institute of Technology Delhi. He has over 15 years of research experience in software companies like Microsoft, Yahoo!, and Novell. He has published academic papers in reputed conferences and journals, and was granted patents in various countries like India, USA, and Europe. He is a technical program member for several reputed conferences and technical reviewer for many renowned journals. He is a leader in the area of algorithms, data science, optimization, and machine learning. He is a Senior Member of both ACM and IEEE.

Inhaltsangabe

1 Machine Learning for Smart City AI Systems. 2 Introduction to Digital
Transformation. 3 Artificial Intelligence for Smart City Development:
Review/Survey of Existing Systems in Smart Cities. 4 AI-Enabled Smart City
Waste Management System. 5 Blueprint of IoT for Smart Cities: An Emerging
Markets Perspective. 6 Building AI-Enabled Smart Cities for Children with
Autism Spectrum Disorder: A Parent's Perspective. 7 Analysing the
Application of a Smart City in Big Data Using K-Means Clustering Algorithm.
8 Artificial Intelligence for Smart City Development in BRICS Economies:
Opportunities and Challenges. 9 Strategies for the Sustainable Development
of the Smart. Cities by Implementing AI. 10 Security and Privacy Issues in
Smart Cities.