Data Science for COVID-19 Volume 1: Computational Perspectives


Data Science for COVID-19 Volume 1: Computational Perspectives
by 作者: Utku Kose ,Deepak Gupta ,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher Finelybook 出版社: Academic Press (8 Jun. 2021)
Language 语言: English
pages 页数: 752 pages
ISBN-10 书号: 0128245360
ISBN-13 书号: 9780128245361


Book Description
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.


下载地址:

Data Science for COVID-19 Volume 1 Computational Perspectives 9780128245361.pdf

打赏
未经允许不得转载:finelybook » Data Science for COVID-19 Volume 1: Computational Perspectives

相关推荐

  • 暂无文章

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏