Overview
- Discusses AI-assisted technologies in the fight against coronavirus
- Presents data analytics for coronavirus epidemic monitoring and control
- Serves as a technical reference resource and data analytic tutorial
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (4 chapters)
Keywords
About this book
The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.
Authors and Affiliations
About the authors
Nilanjan Dey is an Assistant Professor in the Department of Information Technology at Techno International New Town (Formerly known as Techno India College of Technology), Kolkata, India. He is a Visiting Fellow of the University of Reading, UK. He is a Visiting Professor at Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his Ph.D. from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer Nature, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, and Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. He has authored/edited more than 50 books with Springer, Elsevier, Wiley, and CRC Press and published more than 300 peer-reviewed research papers. His main research interests include medical imaging, machine learning, computer-aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing (IFIP) – Young ICT Group.
Jyotismita Chaki is currently an Assistant Professor in the School of Information Technology and Engineering at Vellore Institute of Technology, Vellore, India. She has done her Ph.D. (Engineering) from Jadavpur University, Kolkata, India. Her research interests include computer vision and image processing, machine learning, pattern recognition, medical imaging, soft computing and artificial intelligence. She is an author of 2 authored books and many research publications in reputed international journals and conference proceedings. She is an Editor of 2 edited books. She has served as a Reviewer of Applied Soft Computing(Elsevier), Biosystem Engineering (Elsevier), Pattern Recognition Letters (Elsevier), Journal of Visual Communication and Image Representation (Elsevier), Signal Image and Video Processing (Springer), and IEEE ACCESS journals and also served as Program Committee member of many international conferences.
Bibliographic Information
Book Title: Artificial Intelligence for Coronavirus Outbreak
Authors: Simon James Fong, Nilanjan Dey, Jyotismita Chaki
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-15-5936-5
Publisher: Springer Singapore
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 Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-15-5935-8Published: 23 June 2020
eBook ISBN: 978-981-15-5936-5Published: 22 June 2020
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XI, 74
Number of Illustrations: 4 b/w illustrations, 32 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Data Structures and Information Theory, Health Informatics