Artificial Intelligence for COVID-19
Author:   Diego Oliva ,  Said Ali Hassan ,  Ali Mohamed
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   358
ISBN:  

9783030697464


Pages:   594
Publication Date:   22 July 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligence for COVID-19


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Overview

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. 

Full Product Details

Author:   Diego Oliva ,  Said Ali Hassan ,  Ali Mohamed
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   358
Weight:   0.914kg
ISBN:  

9783030697464


ISBN 10:   3030697460
Pages:   594
Publication Date:   22 July 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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. 

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