Lecture Notes on Data Engineering and Communications Technologies

COVID-19: Prediction, Decision-Making, and its Impacts

Editors: Santosh, K.C., Joshi, Amit (Eds.)

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  • Discusses major COVID-19 issues and challenges and AI-based solutions
  • Includes recently developed AI-driven tools and techniques
  • Covers a wide range of audience from computer science and engineering to healthcare professionals
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Softcover $119.99
price for USA in USD
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  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

About the authors

Dr. KC Santosh (IEEE Senior Member) is the Chair and an Associate Professor for the Department of Computer Science at the University of South Dakota. Before joining USD, Dr. Santosh worked as a Research Fellow at the US National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a Postdoctoral Research Scientist at the LORIA Research Centre, Universite de Lorraine, in direct collaboration with ITESOFT, France. He also served as a Research Scientist at the INRIA Nancy Grand Est Research Centre, France, where he has received his Ph.D. diploma in Computer Science. Dr. Santosh has published more than 70 peer-reviewed research articles, 100 conference proceedings, and 11 book chapters. He has authored 4 books and edited 3 books, 14 journal issues, and 6 conference proceedings. He is currently Editor-in-Chief of IJSIP and an Associate Editor for several journals, such as International Journal of Machine Learning and Cybernetics and IEEE Access. He has also chaired more than 10 international conference events. His research projects have been funded by multiple agencies, including the SDCRGP, Department of Education (DOE), and the National Science Foundation (NSF). Dr. Santosh is the proud recipient of the Presidents Research Excellence Award (USD, 2019) and an award from the Department of Health & Human Services (2014).

Dr. Amit Joshi is currently the Director of Global Knowledge Research Foundation and also an Entrepreneur & Researcher who has completed his master’s and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT, Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, Dr. Joshi is the International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM, and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer, and IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.

 


Table of contents (14 chapters)

Table of contents (14 chapters)
  • Artificial Intelligence (AI) Joins the Fight Against COVID-19

    Pages 1-7

    Chawki, Mohamed

  • AI for Covid-19: Conduits for Public Health Surveillance

    Pages 9-17

    Unnithan, C. (et al.)

  • A Pre-screening Approach for COVID-19 Testing Based on Belief Rule-Based Expert System

    Pages 19-28

    Arora, Tanvi (et al.)

  • Local Analytical System for Early Epidemic Detection

    Pages 29-37

    Singh, Yumnam Somananda (et al.)

  • Implementing Early Detection System for Covid-19 Using Anomaly Detection

    Pages 39-45

    Srikusan, Rishikesan (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-981-15-9682-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
  • ISBN 978-981-15-9681-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
COVID-19: Prediction, Decision-Making, and its Impacts
Editors
  • K.C. Santosh
  • Amit Joshi
Series Title
Lecture Notes on Data Engineering and Communications Technologies
Series Volume
60
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-9682-7
DOI
10.1007/978-981-15-9682-7
Softcover ISBN
978-981-15-9681-0
Series ISSN
2367-4512
Edition Number
1
Number of Pages
XII, 137
Number of Illustrations
5 b/w illustrations, 19 illustrations in colour
Topics