Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks

Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks

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This work aims to compare deep learning models designed to predict daily number of cases and deaths caused by COVID-19 for 183 countries, using a daily basis time series, in addition to a feature augmentation strategy based on Discrete Wavelet Transform (DWT). The following deep learning architectur...

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Bibliographic Details
Main Authors: Erick Giovani Sperandio Nascimento, Júnia Ortiz, Adhvan Novais Furtado, Diego Frias
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079093/?tool=EBI

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