Data Science for Covid-19 Volume 1: Computational Perspectives
暫譯: 新冠疫情數據科學：計算視角 第一卷

Kose, Utku, Gupta, Deepak, de Albuquerque, Victor Hugo Costa

Data Science for Covid-19 Volume 1: Computational Perspectives
  • 出版商: Academic Press
  • 出版日期: 2021-05-25
  • 售價: $6,210
  • 貴賓價: 9.5 折 $5,900
  • 語言: 英文
  • 頁數: 752
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0128245360
  • ISBN-13: 9780128245361
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

《COVID-19 的資料科學》介紹了針對 COVID-19 的檢測、緩解、治療和消除的資料科學技術的前沿研究。各章節提供了 COVID-19 研究的資料科學介紹，考慮了過去和未來的疫情，以及相關的冠狀病毒變異。其他章節涵蓋了與 COVID-19 研究相關的各種資料科學應用，包括影像分析和資料處理、地理處理和追蹤、預測系統、設計認知、行動技術和遠程醫療解決方案。該書接著探討了基於人工智慧的解決方案、創新治療方法和公共安全。最後，讀者將了解大數據的應用及新資料模型在緩解方面的應用。

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