Author: Amit Joshi (Editor), Nilanjan Dey (Editor), K. C. Santosh (Editor) Full Title: Intelligent Systems And Methods To Combat Covid-19 Publisher: Springer; 1st ed. 2020 Edition (October 7, 2020) Year: 2020 ISBN-13: 9789811565724 (978-981-15-6572-4), 9789811565717 (978-981-15-6571-7) ISBN-10: 9811565724, 9811565716 Pages: 91 Language: English Genre: Educational: Computational Intelligence File type: EPUB (True), PDF (True) Quality: 10/10 Price: 51.99 € 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. ------------- Our members see more. Join us!