River Publishers Series in Mathematical and Engineering Sciences Series

Use of AI, Robotics, and Modern Tools to Fight Covid-19

April 2021
More details
  • Publisher
    River Publishers
  • ISBN 9788770224437
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"
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April 2021
More details
  • Publisher
    River Publishers
  • ISBN 9788770224420
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"

The COVID-19 pandemic has hit the globe at a colossal scale. With worldwide reported cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious disease, it has given global health services their most severe challenge. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown, which has become the main defense mechanism. Researchers are working around the clock to find a breakthrough in the diagnostics and treatment of the pandemic.

AI technology is useful for fast drug development and treatment. In the starting phase of the COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network models have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses.

Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 are aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that the appropriate amount of health infrastructure can be made available to these places.

1. The History of Pandemics and Evolution So Far
2. Tracing the origins of COVID-19
3. AI for COVID-19: The Journey So Far
4. Technological opportunities to fight COVID-19 for Indian Scenario
5. Mobile Robots in COVID-19
6. Predictor System for Tracing COVID-19 Spread
7. Discovery of Robust Distributions of COVID-19 Spread
8. Toward Smart Hospital: An Intelligent Personnel Scheduling Using Evolutionary Algorithms
9. Role of Artificial Intelligence based wireless sensor network for pandemic control : A case study using CupCarbon
10. Peculiarities of Technical Measures During the Covid-19 Pandemic
11. Climate change and Covid-19: An Interplay
12. COVID-19 Pandemic : A new era in Higher Education
13. COVID-19: Impact on Global Economy and Role of Virtual Reality with suggestions and challenges for implementation

Arpit Jain

Arpit Jain is at University of Petroleum and Energy Studies, India.

Abhinav Sharma

Abhinav Sharma is at University of Petroleum and Energy Studies, India.

Jianwu Wang

Dr. Jianwu Wang is an Assistant Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC).

Mangey Ram

Mangey Ram is at Graphic Era University, Dehradun, India.

COVID-19; Machine Learning; Pandemics; Robotics; Climate change; Nurse scheduling, Time-series distribution; Optimization; Technical barriers to trade