SpringerBriefs in Computational Intelligence

Intelligent Systems and Methods to Combat Covid-19

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

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  • Discusses a range of intelligent systems and methods to prevent further spread of COVID-19
  • Addresses anomalies involved in the process of data collection
  • Serves as a reference for young scholars, researchers, and industry professionals
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  • ISBN 978-981-15-6572-4
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Softcover $59.99
price for USA in USD
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About this book

This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

About the authors

Amit Joshi – Dr. Joshi is currently the Director of Global Knowledge Research Foundation, also an Entrepreneur & Researcher who has completed his Masters 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 including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.

Dr. Nilanjan Dey is an Assistant Professor at 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 at the University of Reading, UK, and 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 has authored/edited more than 75 books with Springer, Elsevier, Wiley, and CRC Press and published more than 300 peer-reviewed research papers. 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. 

 

Dr. KC Santosh (IEEE Senior Member) is an Associate Professor and Graduate Program Director at the Department of Computer Science at the University of South Dakota (USD). 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 55 peer-reviewed research articles, 85 conference proceedings, and 7 book chapters. He has authored 4 books, and edited 3 books, 11 journal issues, and 4 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 form the Department of Health & Human Services (2014).

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Data Analytics: COVID-19 Prediction Using Multimodal Data

    Pages 1-10

    Mahalle, Parikshit N. (et al.)

  • COVID-19 Apps: Privacy and Security Concerns

    Pages 11-17

    Borra, Surekha

  • Coronavirus Outbreak: Multi-Objective Prediction and Optimization

    Pages 19-28

    Thakur, Nileshsingh V.

  • AI-Enabled Framework to Prevent COVID-19 from Further Spreading

    Pages 29-36

    Dalip, (et al.)

  • Artificial Intelligence-Enabled Robotic Drones for COVID-19 Outbreak

    Pages 37-46

    Jat, Dharm Singh (et al.)

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-981-15-6572-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-981-15-6571-7
  • 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
Intelligent Systems and Methods to Combat Covid-19
Editors
  • Amit Joshi
  • Nilanjan Dey
  • K. C. Santosh
Series Title
SpringerBriefs in Computational Intelligence
Copyright
2020
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
978-981-15-6572-4
DOI
10.1007/978-981-15-6572-4
Softcover ISBN
978-981-15-6571-7
Series ISSN
2625-3704
Edition Number
1
Number of Pages
XII, 91
Number of Illustrations
3 b/w illustrations, 18 illustrations in colour
Topics