AIoT Used for COVID-19 Pandemic Prevention and Control

Table 2

Methods and results of remote screening mentioned.

Authors	Methods	Results	Features
Schinköthe et al. [7]	The cockpit (C19CC)	Identifying telemedicine options, which can quickly improve patient care	Improving care and safety for people with COVID-19
Tan and Liu [8]	Facial recognition system using thermal imaging	Ability to identify and track patients	Helping to control the spread of COVID-19
Hou et al. [10]	Portable scanner + subspace multilayer networks	Achieving test data accuracy of more than 96%	Improving energy efficiency
Mulchandani et al. [11]	The one-shot learning framework based on the Siamese network	Diagnosing coronavirus from tonsillitis effectively for mass-screening	Used to detect susceptible patients at a very early stage
Chilipirea et al. [12]	Scalable COVID-19 screening platform	Ability to collect and analyze data for more than 200,000 people per minute	The main feature being the use of distributed, lightweight design
Lonini et al. [4]	Use of soft wearable devices	Rapid screening for COVID-19	Reducing the risk of pneumonia among healthcare workers