Artificial intelligence and machine learning for COVID-19

Author(s)

    • Al-Turjman, Fadi

Bibliographic Information

Artificial intelligence and machine learning for COVID-19

Fadi Al-Turjman, editor

(Studies in computational intelligence, v. 924)

Springer, c2021

  • : hardback

Available at  / 1 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) - from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Table of Contents

Smart Technologies for COVID-19: The Strategic Approaches in Combating the Virus.- A Review on COVID-19.- Artificial Intelligence in the Face of the Corona Virus Pandemic.- Digital Transformation and Emerging Technologies for COVID-19 Pandemic: Social, Global and Industry Perspectives.- A Deep Analysis and Prediction of COVID-19 in India: Using Ensemble Regression Approach.- Image Enhancement in Healthcare Applications: A Review.- DEEP LEARNING APPROACH USING 3D-ImpCNN CLASSIFICATION FOR CORONAVIRUS DISEASE.- Drone-based Social Distancing, Sanitisation, Inspection, Monitoring and Control Room for COVID-19.- Application of AI Techniques for COVID-19 in IoT and Big-Data Era: A Survey.- APPLICATION OF IoT, AI and 5G IN the FIGHT AGAINST the COVID-19 PENDAMIC.- AI techniques for Resource Management during Covid-19.

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Details

  • NCID
    BD06869759
  • ISBN
    • 9783030601874
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    [Cham]
  • Pages/Volumes
    x, 266 p.
  • Size
    25 cm
  • Parent Bibliography ID
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