Emerging Technologies for Battling Covid-19

The book presents recent trends and solutions to help healthcare sectors and medical staff protect themselves and others and limit the spread of the COVID-19. The book also presents the problems and challenges researchers and academics face in tackling this monumental task. Topics include: Unmanned Aerial Vehicle (UAV) or drones that can be used to detect infected people in different areas; robots used in fighting the COVID-19 by protecting workers and staff  dealing with infected people; blockchain technology that secures sensitive transactions in strict confidentiality. With contributions from experts from around the world, this book aims to help those creating and honing technology to help with this global threat.

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2. 1. Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots
3. 2. Machine Learning-Based Scheme to Identify COVID-19 in Human Bodies
4. 3. COVID-19 Epidemic Analysis and Prediction Using Machine Learning Algorithms
5. 4. Big Data and Modern-Day Technologies in COVID-19 Pandemic: Opportunities, Challenges, and Future Avenues
6. 5. Applications of Artificial Intelligence and Internet of Things for Detection and Future Directions to Fight Against COVID-19
7. 6. COVID-19 Under Origin and Transmission: A Data-Driven Analysis for India and Bangladesh
8. 7. Robotics and Drone-Based Solution for the Impact of COVID-19 Worldwide Using AI and IoT
9. 8. Wearable Devices and COVID-19: State of the Art, Framework, and Challenges
10. 9. Effectiveness of Big Data in Early Prediction and Measure for COVID-19 Using Data Science
11. 10. COVID-19: Creating a Paradigm Shift in Indian Education System
12. 11. Perspectives on the Definition of Data Visualization: A Mapping Study and Discussion on Coronavirus (COVID-19) Dataset
13. 12. Disaster Management Using Recent Technologies During COVID-19
14. 13. COVID-19 Impact on Educational System Globally
15. 14. Mobile Technology Solutions for COVID-19
16. 15. Predictive Analysis of COVID-19 Transmission: Mathematical Modeling Study
17. 16. Analyzing the Economic Depression Post-COVID-19 Using Big Data Analytics
18. 17. Intrinsic and Extrinsic Motivation for Online Teaching in COVID-19: Applications, Issues, and Solution
19. Back Matter