Artificial Intelligence for COVID-19

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  • Artificial Intelligence for COVID-19 Book Detail

  • Author : Diego Oliva
  • Release Date : 2021-07-19
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 594
  • ISBN 13 : 3030697444
  • File Size : 30,30 MB

Artificial Intelligence for COVID-19 by Diego Oliva PDF Summary

Book Description: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

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Artificial Intelligence for COVID-19

Artificial Intelligence for COVID-19

File Size : 92,92 MB
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This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19.

Artificial Intelligence in Covid-19

Artificial Intelligence in Covid-19

File Size : 5,5 MB
Total View : 1697 Views
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This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat human