Intelligent Systems and Methods to Combat Covid-19

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Synopsis

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.

Book details

Edition:
1st ed. 2020
Series:
SpringerBriefs in Applied Sciences and Technology
Author:
Amit Joshi, Nilanjan Dey, K. C. Santosh
ISBN:
9789811565724
Related ISBNs:
9789811565717
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-10-06
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Medicine, Nonfiction, Technology