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Artificial Intelligence for COVID-19: Studies in Systems, Decision and Control, cartea 358

Editat de Diego Oliva, Said Ali Hassan, Ali Mohamed
en Limba Engleză Paperback – 22 iul 2022
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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Specificații

ISBN-13: 9783030697464
ISBN-10: 3030697460
Ilustrații: X, 594 p. 268 illus., 250 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

Simulation of the relation between the number of COVID-19 death cases as a result of the number of handwashing facilities by using artificial intelligence.- Big data and big data analytics for COVID-19 epidemic.- Big data in COVID-19 assistance – Concepts, motivations, advances and applications in real-world.- Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a case study.- Factors affecting medical mask purchase decision in COVID-19 pandemic.- Classification approach for COVID-19 gene based on Harris hawks optimization. 

Textul de pe ultima copertă

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. 

Caracteristici

Presents recent research on Decision Sciences for COVID-19 Provides Decision sciences techniques which use a number of mathematical techniques to solve problems in COVID-19 applications Written by experts in the field