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Applications of Artificial Intelligence and Internet of Things for Detection and Future Directions to Fight Against COVID-19
Studies in Systems, Decision and Control ; 324:107-119, 2021.
Article in English | Scopus | ID: covidwho-1130686
ABSTRACT
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. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Studies in Systems, Decision and Control Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Studies in Systems, Decision and Control Year: 2021 Document Type: Article