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Data Science for COVID-19 Volume 1: Computational Perspectives - Panter - 20.08.2021 Data Science for COVID-19 Volume 1: Computational Perspectives by Utku Kose (Editor), Deepak Gupta (Editor), Victor Hugo Costa de Albuquerque (Editor), Ashish Khanna (Editor) English | 2021 | ISBN: 0128245360 | 754 pages | PDF | 16.38 MB 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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