Editors:
- comprises a comprehensive study on applications of deep learning techniques as solutions to different societal issues
- includes chapters on applications of AI in societal awareness for economic empowerment
- Provides a few chapters on applications of AI responses to COVID-19 management in rural areas
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 231)
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Table of contents (18 chapters)
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Front Matter
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Crime and Security
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Front Matter
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Agriculture and Education
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Front Matter
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Emotion and Mental Health
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Front Matter
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Healthcare Informatics and Management
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Front Matter
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About this book
Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.
Editors and Affiliations
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Department of Computer Science and Engineering, National Institute Of Technology Silchar, Cachar, India
Anupam Biswas
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National Institute of Technology Bhopal, Bhopal, India
Vijay Bhaskar Semwal
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Department of Computer Science, PDPM, Indian Institute of Information Technology, Jabalpur, India
Durgesh Singh
Bibliographic Information
Book Title: Artificial Intelligence for Societal Issues
Editors: Anupam Biswas, Vijay Bhaskar Semwal, Durgesh Singh
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-12419-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-12418-1Published: 20 September 2023
Softcover ISBN: 978-3-031-12421-1Due: 21 October 2023
eBook ISBN: 978-3-031-12419-8Published: 19 September 2023
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 356
Number of Illustrations: 39 b/w illustrations, 122 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence