Intelligent Systems and Methods to Combat Covid-19 (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	August 2020
First published:	2020
Editors:	Amit Joshi • Nilanjan Dey • K. C. Santosh
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	91
Edition:	1st ed. 2020
ISBN-13:	978-981-15-6571-7
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	981-15-6571-6
Barcode:	9789811565717

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