Abstract: Coronavirus is an extremely infectious and fatal disease that can be spread straight from one individual to another. COVID-19 is currently causing a lot of concern worldwide since it is difficult to detect and prevent. The Internet of Things (IoT) coupled with the wireless sensor network (WSN) has an impact on lowering the medical expenses and improving the treatment results of the infected individual. This paper proposes a secure and energy-efficient WSN architecture combined with machine learning and IoT to recognize and observe the Covid-19 ...
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Topics: 
Machine learning
Artificial intelligence
Real-time computing