Approach to COVID-19 time series data using deep learning and spectral analysis methods

Approach to COVID-19 time series data using deep learning and spectral analysis methods

This article focuses on the application of deep learning and spectral analysis to epidemiology time series data, which has recently piqued the interest of some researchers. The COVID-19 virus is still mutating, particularly the delta and omicron variants, which are known for their high level of cont...

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Bibliographic Details
Main Authors: Kayode Oshinubi, Augustina Amakor, Olumuyiwa James Peter, Mustapha Rachdi, Jacques Demongeot
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:AIMS Bioengineering
Subjects:
covid-19
deep learning
data analysis
spectral analysis
neural network
Online Access:https://www.aimspress.com/article/doi/10.3934/bioeng.2022001?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/bioeng.2022001?viewType=HTML

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