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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

  • Book
  • © 2021

Overview

Editors:
  1. Aboul Ella Hassanien

    1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

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    You can also search for this editor in PubMed   Google Scholar

  2. Ashraf Darwish

    1. Faculty of Science, Helwan University, Cairo, Egypt

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Demonstrates new technologies for Fighting COVID-19
  • Presents Innovative Approaches and technologies
  • Exhibits recent applications of intelligent technologies on COVID-19

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 322)

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-x
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  2. Artificial Intelligence Technology Against COVID-19

    1. Front Matter

      Pages 1-1
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    2. Digital Transformation and Emerging Technologies for Tackling COVID-19 Pandemic

      • Mohamed Elsersy, Ahmed Sherif, Ashraf Darwsih, Aboul Ella Hassanien
      Pages 3-19

    3. The Role of Emerging Technologies for Combating COVID-19 Pandemic

      • Atrab A. Abd El-Aziz, Nour Eldeen M. Khalifa, Ashraf Darwsih, Aboul Ella Hassanien
      Pages 21-41

    4. An Optimized Classification Model for COVID-19 Pandemic Based on Convolutional Neural Networks and Particle Swarm Optimization Algorithm

      • Walid Hamdy, Ismail Elansary, Ashraf Darwish, Aboul Ella Hassanien
      Pages 43-61

    5. Automatic Scoring and Grading of COVID-19 Lung Infection Approach

      • Kamel. K. Mohammed, Heba M. Afify, Ashraf Darwish, Aboul Ella Hassanien
      Pages 63-79

    6. Artificial Intelligence Strategy in the Age of Covid-19: Opportunities and Challenges

      • Walid Hamdy, Ashraf Darwish, Aboul Ella Hassanien
      Pages 81-93

    7. SAKHA: An Artificial Intelligence Enabled VisualBOT for Health and Mental Wellbeing During COVID’19 Pandemic

      • Jaideep Singh Sachdev, Arti Kamath, Nitu Bhatnagar, Roheet Bhatnagar, Arpana Rawal, Ashraf Darwish et al.
      Pages 95-110

    8. Classification of COVID19 X-ray Images Based on Transfer Learning InceptionV3 Deep Learning Model

      • Hassan Amin, Ashraf Darwish, Aboul Ella Hassanien
      Pages 111-119

    9. Artificial Intelligence Approach to Predict the COVID-19 Patient’s Recovery

      • Aya Salama, Ashraf Darwsih, Aboul Ella Hassanien
      Pages 121-133

    10. Deep Learning Technology for Tackling COVID-19 Pandemic

      • Mona Soliman, Asahraf Darwish, Aboul Ella Hassanien
      Pages 135-160

  3. Digital and Emerging Technologies for Monitoring and Controlling COVID-19

    1. Front Matter

      Pages 161-161
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    2. Monitoring COVID-19 Disease Using Big Data and Artificial Intelligence-Driven Tools

      • Sally M. Elghamrawy, Ashraf Darwish, Aboul Ella Hassanien
      Pages 163-174

    3. Drones Combat COVID-19 Epidemic: Innovating and Monitoring Approach

      • Adarsh Kumar, Mohamed Elsersy, Ashraf Darwsih, Aboul Ella Hassanien
      Pages 175-188

    4. 3D Printing Supports COVID-19 Pandemic Control

      • Mourad R. Mouhamed, Ashraf Darwish, Aboul Ella Hassanien
      Pages 189-203

    5. The Role of Social Robotics to Combat COVID-19 Pandemic

      • Lamia Nabil Mahdy, Kadry Ali Ezzat, Ashraf Darwish, Aboul Ella Hassanien
      Pages 205-217

    6. The 4th Industrial Revolution in Coronavirus Pandemic Era

      • Mohamed Nagy, Hagar M. Abbad, Ashraf Darwish, Aboul Ella Hassanien
      Pages 219-231

  4. Social and Smart Networking and Cyber Security for Tracking COVID-19

    1. Front Matter

      Pages 233-233
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    2. The Future Scope of Internet of Things for Monitoring and Prediction of COVID-19 Patients

      • Ismail Elansary, Ashraf Darwish, Aboul Ella Hassanien
      Pages 235-247

    3. The Truth About 5G and COVID-19: Basics, Analysis, and Opportunities

      • Haytham H. Elmousalami, Ashraf Darwish, Aboul Ella Hassanien
      Pages 249-259
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Keywords

About this book

This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future.


The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.



Editors and Affiliations

  • Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  • Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

Bibliographic Information

  • Book Title: Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

  • Editors: Aboul Ella Hassanien, Ashraf Darwish

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-63307-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-63306-6Published: 11 March 2021

  • Softcover ISBN: 978-3-030-63309-7Published: 11 March 2022

  • eBook ISBN: 978-3-030-63307-3Published: 10 March 2021

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: X, 310

  • Number of Illustrations: 43 b/w illustrations, 70 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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