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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this book prov.
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Published by Engineering Science Reference, 2022
ISBN 10: 1799887944 ISBN 13: 9781799887942
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Applied Big Data Analytics and Its Role in COVID-19 Research | Peng Zhao (u. a.) | Taschenbuch | Englisch | 2022 | Engineering Science Reference | EAN 9781799887942 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799887944 ISBN 13: 9781799887942
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799887936 ISBN 13: 9781799887935
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Featuring coverage on a range of big data technologies, such as data collection, data cleaning, data visualization, deep learning, predictive analysis, NLP, GIS, social media analysis, image recognition, voice recognition, and motion recognition, this publi.
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799887936 ISBN 13: 9781799887935
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Applied Big Data Analytics and Its Role in COVID-19 Research | Peng Zhao (u. a.) | Buch | Gebunden | Englisch | 2022 | Engineering Science Reference | EAN 9781799887935 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799887936 ISBN 13: 9781799887935
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.