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Artificial Intelligence for COVID-19

  • Book
  • © 2021

Overview

Editors:
  1. Diego Oliva

    1. Department of Computer Sciences, University of Guadalajara, Guadalajara, Mexico

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  2. Said Ali Hassan

    1. Operations Research and Decision Support Department, 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

  3. Ali Mohamed

    1. Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

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  • 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

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 358)

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Table of contents (32 chapters)

  1. Front Matter

    Pages i-x
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  2. 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

    • Sajedeh Norozpour
    Pages 1-10

  3. Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management

    • Joseph Bamidele Awotunde, Rasheed Gbenga Jimoh, Idowu Dauda Oladipo, Muyideen Abdulraheem, Taibat Bolanle Jimoh, Gbemisola Janet Ajamu
    Pages 11-29

  4. Application of COVID-19 Pandemic Using Artificial Intelligence

    • Abhishek Mehta, Trupti Rathod, Priya R. Swaminarayan
    Pages 31-45

  5. Application of Artificial Intelligence for COVID-19 Epidemic: An Exploratory Study, Opportunities, Challenges, and Future Prospects

    • Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, Rasheed Gbenga Jimoh, Emmanuel Abidemi Adeniyi, Kazeem Moses Abiodun, Gbemisola Janet Ajamu
    Pages 47-61

  6. Diagnosing COVID-19 Virus in the Cardiovascular System Using ANN

    • Palanisamy Satheesh Kumar, Jeevitha, Manikandan
    Pages 63-75

  7. An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings

    • Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa, Javier Escudero
    Pages 77-100

  8. Understanding Role of Information and Communication Technology Application in Vietnam’s Prevention and Control of COVID-19 Pandemic

    • Nguyen Le Thy Thuong, Thuy T. Dang, Tran Ngoc Diem
    Pages 101-118

  9. Robotics and Automation: The Rescuers of COVID Era

    • Abhishek Chauhan
    Pages 119-151

  10. Nonparametric Tests for Comparing COVID-19 Machine Learning Forecasting Models

    • Dmitriy Klyushin
    Pages 153-166

  11. Artificial Intelligence and the Control of COVID-19: A Review of Machine and Deep Learning Approaches

    • Sakinat Oluwabukonla Folorunso, Emeka Ogbuju, Francisca Oladipo
    Pages 167-185

  12. Optimization of the International Trade Activities in the Period of COVID-19 by Proposing an Algorithm

    • Ouail El Imrani, Monsif Ben Messaoud Layti, Salmane Bourekkadi, Abdelhamid Boulaksili, Issam Kabbassi
    Pages 187-193

  13. Internet of Things (IoT) and Real Time Applications

    • V. Nandalal, V. Anand Kumar
    Pages 195-214

  14. Optimum Scheduling of the Disinfection Process for COVID-19 in Public Places with a Case Study from Egypt, a Novel Discrete Binary Gaining-Sharing Knowledge-Based Metaheuristic Algorithm

    • Said Ali Hassan, Prachi Agrawal, Talari Ganesh, Ali Wagdy Mohamed
    Pages 215-228

  15. Predicating COVID19 Epidemic in Nepal Using the SIR Model

    • Pawan Thapa
    Pages 229-237

  16. Feature Extraction of Coronavirus X-Ray Images by RNN, Correlational Networks, and PNN

    • V. Kakulapati, Appiah Prince
    Pages 239-255

  17. Text Mining for Covid-19 Analysis in Latin America

    • Josimar Chire Saire, Anabel Pineda-Briseño
    Pages 257-294

  18. Spread of COVID-19 in Odisha (India) Due to Influx of Migrants and Stability Analysis Using Mathematical Modeling

    • Aswin Kumar Rauta, Yerra Shankar Rao, Jangyadatta Behera
    Pages 295-309

  19. COVID-19 Epidemic Analysis and Prediction in Virudhunagar District Using Machine Learning

    • M. Shanmuga Eswari, N. Indumathi, R. Ramalakshmi
    Pages 311-327

  20. Internet of Things and Covid-19 Safety Precautions: Roles of Information Communication Technology in Health Emergency Control for Global Development

    • Haruna Ishola Abdullahi, Adeola Latifat Odeniyi, Sarafadeen Tunde Ganiyu
    Pages 329-343
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Keywords

About this book

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. 

Editors and Affiliations

  • Department of Computer Sciences, University of Guadalajara, Guadalajara, Mexico

    Diego Oliva

  • Operations Research and Decision Support Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Said Ali Hassan

  • Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

    Ali Mohamed

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