Overview
- Highlights the applications AI, ML, DL, remote sensing, edge computing, cybersecurity
- Discusses how e-Learning impacts the education sector during unforeseen situations like a pandemic
- Presents the use of technologies, such as ambient intelligence, to improve the quality of life
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 478)
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Table of contents (21 chapters)
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Front Matter
Keywords
About this book
This book presents the applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. COVID-19, a worldwide pandemic, has limited many physical operational areas and at the same time has motivated to uplift the initiative to digitalize the world. Society is facing ever more intense and protracted humanitarian crises, and as a result, the global community is pressed to find new ways to help people and communities in need. This interdisciplinary book highlights the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning experiences with the help of emerging technologies like IT/ICT, AI, ML, edge computing, robotics automation, 5G for the betterment of humanity. It highlights the analytics and optimization issues impacting society and technology for example on security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people to create a secure tomorrow.
Editors and Affiliations
About the editors
Dr. Mousmi Ajay Chaurasia is working as Professor and Head in the Information Technology Department at Muffakham Jah College of Engineering & Technology, Hyderabad. She has published more than 22 papers in different international journals, book chapters, and conference proceedings. She is Senior Member of IEEE and serves in different capacities in IEEE section, region and global level. She is a recipient of the 2020 Significant Volunteer Award from IEEE Hyderabad Section and an active volunteer at Section, IEEE MGA and Region 10 level. She has one patent to her name and two Australian patents are in progress. She has worked in South Korea and Saudi Arabia and handled various projects funded by respective Governments. She has been part of several international conferences and workshops. Her research interests are artificial intelligence, big data and evolutionary computation.
Dr. Chia-Feng Juang is currently Distinguished Professor in the Department of Electrical Engineering,at the National Chung Hsing University, Taiwan. His current research interests include computational intelligence, intelligent control, computer vision, and intelligent robots. He has authored or coauthored ten book chapters, more than 110 journal papers (including more than 60 IEEE journal papers), and more than 130 conference papers. He was elevated to IEEE Fellow in 2019. He is an IEEE Computational Intelligence Society Distinguished Lecture in 2020-2022. He is an Associate Editor for several journals, including the IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.
Bibliographic Information
Book Title: Emerging IT/ICT and AI Technologies Affecting Society
Editors: Mousmi Ajay Chaurasia, Chia-Feng Juang
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-19-2940-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-2939-7Published: 26 August 2022
Softcover ISBN: 978-981-19-2942-7Published: 27 August 2023
eBook ISBN: 978-981-19-2940-3Published: 25 August 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XVI, 323
Number of Illustrations: 40 b/w illustrations, 63 illustrations in colour
Topics: Artificial Intelligence, Cyber-physical systems, IoT, Professional Computing, Sociology, general, Computational Intelligence, Machine Learning