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Assessment of Machine Learning Techniques in IoT-Based Architecture for the Monitoring and Prediction of COVID-19
2021
Electronics
From the end of 2019, the world has been facing the threat of COVID-19. It is predicted that, before herd immunity is achieved globally via vaccination, people around the world will have to tackle the COVID-19 pandemic using precautionary steps. This paper suggests a COVID-19 identification and control system that operates in real-time. The proposed system utilizes the Internet of Things (IoT) platform to capture users' time-sensitive symptom information to detect potential cases of
doi:10.3390/electronics10151834
fatcat:byb7npucdfgwraksqrftldivfa