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Intelligent data analysis for COVID-19 pandemic /

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and...

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Bibliographic Details
Group Author: Niranjanamurthy, M.; Bhattacharyya, Siddhartha, 1975-; Kumar, Neeraj (Computer scientist)
Published: Springer,
Publisher Address: Singapore :
Publication Dates: [2021]
Literature type: Book
Language: English
Series: Algorithms for intelligent systems,
Subjects:
COVID-19 Pandemic, 2020- > Data processing.
Electronic data processing.
Summary: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.
Carrier Form: xix, 370 pages : illustrations (some color) ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9789811615733
981161573X
Index Number: RA644
CLC: R-058
Call Number: R-058/I611-2

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