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Intelligent Systems and Methods to Combat Covid-19

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Systems and Methods to Combat Covid-19/ edited by Amit Joshi, Nilanjan Dey, K. C. Santosh.
其他作者:	Santosh, K. C.
面頁冊數:	XII, 91 p. 21 illus., 18 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	https://doi.org/10.1007/978-981-15-6572-4
ISBN:	9789811565724

Intelligent Systems and Methods to Combat Covid-19
Intelligent Systems and Methods to Combat Covid-19[electronic resource] /edited by Amit Joshi, Nilanjan Dey, K. C. Santosh. - 1st ed. 2020. - XII, 91 p. 21 illus., 18 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in Computational Intelligence,.

Chapter 1. Data Analytics: COVID-19 Prediction using Multimodal Data -- Chapter 2. COVID-19 Apps: Privacy and security concerns -- Chapter 3. Coronavirus Outbreak: Multi-objective Prediction and Optimization -- Chapter 4. AI-Enabled Framework to Prevent COVID-19 from Further Spreading -- Chapter 5. Artificial Intelligence Enabled Robotic Drones for COVID-19 Outbreak -- Chapter 6. Understanding and Analysis of Enhanced COVID-19 Chest X-Ray Images -- Chapter 7. Deep Learning-based COVID-19 Diagnosis and Trend Predictions -- Chapter 8. COVID-19: Loose Ends -- Chapter 9. Social Distancing and Artificial Intelligence- Understanding the Duality in the times of Covid-19 -- Chapter 10. Post Covid-19 and Business Analytics.

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.

ISBN: 9789811565724

Standard No.: 10.1007/978-981-15-6572-4doiSubjects--Topical Terms:

1017136
Big Data.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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