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Data Science for COVID-19 Volume 1 : Computational Perspectives

By: (Edited by) India) Khanna New Delhi Ashish , (Edited by) Deepak Gupta , (Edited by) Utku Kose , (Edited by) PhD de Albuquerque MSc Victor Hugo Costa

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Ksh 23,600.00

Format: Paperback / Softback

ISBN-10: 0128245360

ISBN-13: 9780128245361

Publisher: Elsevier Science Publishing Co Inc

Imprint: Academic Press Inc

Country of Manufacture: NL

Country of Publication: GB

Publication Date: May 25th, 2021

Print length: 752 Pages

Weight: 1,500 grams

Dimensions (height x width x thickness): 19.40 x 23.40 x 4.50 cms

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Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.

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