As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications.

This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Advancement
AI-Oriented Research
Case Studies
Communication Solutions
Community Applications
Computational Intelligence
Cutting-Edge Research
Development
Future Predictions
High-Level Computations
Machine Intelligence
Real-World Problems
Smart Cities
Society-Oriented Research
Sustainable Future
Technological Details
Technology-Dependent Applications
Transformation
Use Cases
XAI (Explainable Artificial Intelligence)

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Editor/Author Biographies

Mangesh M. Ghonge is currently working at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India. He received his Ph.D. in Computer Science & Engineering from Sant Gadge Baba Amravati University, Amravati, India and an M.Tech degree in Computer Science & Engineering from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, India. He authored/co-authored more than 60 published articles in prestigious journals, book chapters, and conference papers. Besides, Dr. Mangesh Ghonge authored/edited 10 international books published by recognized publishers such as Springer, IGI Global, CRC Press Taylor & Francis, Wiley-Scrivener, Nova. He has been invited as a resource person for many workshops/FDP. He has organized and chaired many national/international conferences and conducted various workshops. He received a grant from the Ministry of Electronics and Information Technology (MeitY) and DST. He is editor-in-chief of International Journal of Research in Advent Technology (IJRAT), E-ISSN 2321-9637. He is also guest editor for SCIE indexed journal special issue. He worked as a reviewer for Scopus/SCIE Indexed journals.

Nijalingappa Pradeep is working as Professor in Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India affiliated Visvesvaraya Technological University, Belagavi, Karnataka, India. He is having 19 years of academic experience, which includes teaching and research experience. He has worked at various verticals starting from Lecturer to Professor. His research areas of interest include Machine Learning, Pattern Recognition, Medical Image Analysis, Knowledge Discovery Techniques, and Data Analytics. He is presently guiding TWO research scholars on Knowledge Discovery and Medical Image Analysis. He has successfully edited a book published by IGI Publishers, USA. Two edited books are published by Elsevier and IGI Global, USA. Other 9 books are in progress. He has published more than 25 research articles published in refereed journals and also one Indian Patent application is published and one Australian Patent is granted. He is a reviewer of various International Conferences and few journals. He is a Professional member in IEEE, ACM, ISTE and IEI. Also, he is a Technical Committee Member for Davangere Smart City, Davangere.

Noor Zaman Jhanjhi (N.Z. Jhanjhi) is currently working as a Professor in Computer Science (Cybersecurity), Program Director for the Postgraduate Research Degree Programmes in computer science, Acting Program Director for Master of Applied Computing MAC, Director of the Center for Smart Society (CSS5) at the School of Computer Science at Taylor’s University, Malaysia. He has been nominated as the world’s top 2% research scientist globally for 2022 and 2023, the top researcher in computer science in Malaysia by Scopus in terms of publications and nominated as an Outstanding faculty member by the MDEC Malaysia for the year 2022. He has highly indexed publications in WoS/ISI/SCI/Scopus, and his collective research Impact factor is more than 900 plus points. His Google Scholar H index is 51, and I-10 Index is close to 250, and his Scopus H index is 37, with more than 550 publications on his credit. He has several international Patents on his account, including Australian, German, UK and Japanese. He edited/authored over 45 research books published by world-class publishers, including Springer, Taylors and Frances, Willeys, Intech Open, IGI Global USA, etc. He has excellent experience supervising and co-supervising postgraduate students, and more than 37 Postgraduate scholars graduated under his supervision. Prof. Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, CMC Computers, Materials & Continua, Computer Systems Science and Engineering CSSE and Frontier in Communication and Networks. He received Outstanding Associate Editor for IEEE ACCESS. Active reviewer for a series of top-tier journals has been awarded globally as a top 1% reviewer by Publons (Web of Science). He is an external Ph.D./Master thesis examiner/evaluator for several universities globally and has evaluated 50 plus theses. He has completed more than 40 internationally funded research grants successfully. He has served as a Keynote/Invited speaker for more than 60 international conferences and chaired international conference sessions internationally. He has vast experience in academic qualifications, including ABET, NCAAA, and NCEAC, for 10 years. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs.

|Praveen Kulkarni - Editor|Dr. Praveen M. Kulkarni is the Professor at KLS Institute of Management Education and Research, Belagavi. He has published more than 30 papers in various International Journals and Conferences and has many research grants to his credit. His experience in the field of academics and industry extends over a period of 20 years. His areas of interest include human resource management, leadership, psychometric testing.

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