Overview

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.

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9781668463611

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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 to Visvesvaraya Technological University, Belagavi, Karnataka, India. He is having 18 years of academic experience, which includes teaching and research experience. He has worked at various verticals starting from Lecturer to Associate 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 book published by IGI Publishers and Elsevier, USA. Two edited books to be published by Elsevier and Scrivener Publishing, Wiley are in progress. He has published more than 20 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.

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