Selected article for: "current pandemic and present work"

Author: Agrawal, Akshat; Arora, Rajesh; Arora, Ranjana; Agrawal, Prateek
Title: Applications of Artificial Intelligence and Internet of Things for Detection and Future Directions to Fight Against COVID-19
  • Cord-id: tso4o4ba
  • Document date: 2021_2_16
  • ID: tso4o4ba
    Snippet: Recently, coronavirus disease 2019 (COVID-19) has become a prevalent threat for the human life all over the world. The propagation of this virus is very fast, and due to its contagious nature, it is infecting millions of people globally. Scientists and researchers are continuously working to find out the ways, i.e., medicine/vaccine for its cure. In the current scenario, spreading awareness regarding detection and prevention of this pandemic can save numerous lives in whole community. In this co
    Document: Recently, coronavirus disease 2019 (COVID-19) has become a prevalent threat for the human life all over the world. The propagation of this virus is very fast, and due to its contagious nature, it is infecting millions of people globally. Scientists and researchers are continuously working to find out the ways, i.e., medicine/vaccine for its cure. In the current scenario, spreading awareness regarding detection and prevention of this pandemic can save numerous lives in whole community. In this context, applications of artificial intelligence (AI) and Internet of Things (IoT) techniques could be a boon to mankind, as they can help in prevention, detection, forecasting, mortality risk of patients and remote operation of curing devices like ventilators, drone sanitization/surveillance, resource management, etc. In the present study, all possible applications of AI technology, viz., collection of infected blood samples, detection of virus, forecasting, etc., have been undertaken. Furthermore, the relevance of IoT in terms of monitoring and controlling electrical and mechanical devices for the cure of COVID-19, communication of interconnecting devices, and supervision of curing appliances has been reviewed here. The use of various AI and machine learning (ML) algorithms in view of detecting the most threatening symptoms and features of this dangerous virus has been demonstrated in the present work. This will significantly enhance the lifesaving probability of human beings and can help in exploring the new methods of prevention and detection of COVID-19.

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