SpringerBriefs in Applied Sciences and Technology

Joshi, Amit; Dey, Nilanjan; Santosh, K. C.

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.

Details

Published by: Springer

Publication Date: 2020-08-27

Format: Paperback

ISBN-13: 9789811565717

DOI: 10.1007/978-981-15-6572-4

Dimensions: 235cm x155cm

Pages: 91