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Intelligent systems and methods to c...

Dey, Nilanjan.

Intelligent systems and methods to combat Covid-19

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent systems and methods to combat Covid-19edited by Amit Joshi, Nilanjan Dey, K. C. Santosh.
other author:	Joshi, Amit.
Published:	Singapore :Springer Singapore :2020.
Description:	xii, 91 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	COVID-19 (Disease)Data processing.
Online resource:	https://doi.org/10.1007/978-981-15-6572-4
ISBN:	9789811565724$q(electronic bk.)

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. - Singapore :Springer Singapore :2020. - xii, 91 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational intelligence. - SpringerBriefs in applied sciences and technology.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$q(electronic bk.)

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

875985
COVID-19 (Disease)
--Data processing.

LC Class. No.: RA644.C67 / I58 2020

Dewey Class. No.: 616.2414

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520 $a 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.
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