A State-of-the-Art AF-HIDOP: A Model for Daily Covid-19 Infectious Disease Outbreak Spread Risk Prediction
Author:
Affiliation:
1. University of Bradford,Faculty of Engineering and Informatics,Bradford,UK
2. Universiti Tun Hussein Onn Malaysia (UTHM),Faculty of Electrical and Electronic Engineering,Johore,MALAYSIA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10237087/10237006/10237104.pdf?arnumber=10237104
Reference43 articles.
1. Considerations for development and use of AI in response to COVID-19
2. Respiratory sinus arrhythmia – testing the method of choice for evaluation of cardiovagal regulation
3. The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis
4. Modeling and prediction of COVID-19 pandemic using Gaussian mixture model
5. A Survey of Machine Learning Technologies for COVID-19 Pandemic
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