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Impact of AI and Data Science in Response to Coronavirus Pandemic - Sushruta Mishra - Bog

Bag om Impact of AI and Data Science in Response to Coronavirus Pandemic

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, itdiscusses strong preventive measures to control such pandemic.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811627880
  • Indbinding:
  • Paperback
  • Sideantal:
  • 336
  • Udgivet:
  • 24. Juli 2022
  • Udgave:
  • 22001
  • Størrelse:
  • 155x19x235 mm.
  • Vægt:
  • 511 g.
  • 2-3 uger.
  • 12. Juli 2024
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Beskrivelse af Impact of AI and Data Science in Response to Coronavirus Pandemic

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, itdiscusses strong preventive measures to control such pandemic.

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