Data Science for Covid-19 Volume 1: Computational Perspectives
Paperback 752 pages English May 25, 2021
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Academic Press
Data Science for Covid-19 Volume 1: Computational Perspectives
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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.
- Author:
- Utku Kose, Deepak Gupta, Victor Hugo Costa De Albuquerque, Ashish Khanna
- Publisher:
- Academic Press
- Publication Date:
- May 25, 2021
- Number of pages:
- 752 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 0128245360
- ISBN-13:
- 9780128245361