Artificial Intelligence for COVID-19

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2021-07-19

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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. 
Pages
594 pages
Collection
Studies in Systems, Decision and Control
Parution
2021-07-19
Marque
Springer
EAN papier
9783030697433
EAN PDF
9783030697440

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
18586 Ko
Prix
179,34 €
EAN EPUB
9783030697440

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
109742 Ko
Prix
179,34 €