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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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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