A Real-Time Crowdsensing Framework for Potential COVID-19 Carrier Detection Using Wearable Sensors

A Real-Time Crowdsensing Framework for Potential COVID-19 Carrier Detection Using Wearable Sensors

Artificial intelligence has been utilized extensively in the healthcare sector for the last few decades to simplify medical procedures, such as diagnosis, prognosis, drug discovery, and many more. With the spread of the COVID-19 pandemic, more methods for detecting and treating COVID-19 infections h...

Full description

Bibliographic Details
Main Authors: Harsh Mankodiya, Priyal Palkhiwala, Rajesh Gupta, Nilesh Kumar Jadav, Sudeep Tanwar, Bogdan-Constantin Neagu, Gheorghe Grigoras, Fayez Alqahtani, Ahmed M. Shehata
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
machine learning
crowdsensing
object detection
support vector machine
time-series data
wearable device
Online Access:https://www.mdpi.com/2227-7390/10/16/2927

Internet

https://www.mdpi.com/2227-7390/10/16/2927

Similar Items