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

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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Detalles Bibliográficos
Autores principales: Sperandio Nascimento, Erick Giovani, Ortiz, Júnia, Furtado, Adhvan Novais, Frias, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079093/
https://www.ncbi.nlm.nih.gov/pubmed/37023075
http://dx.doi.org/10.1371/journal.pone.0282621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079093/
https://www.ncbi.nlm.nih.gov/pubmed/37023075
http://dx.doi.org/10.1371/journal.pone.0282621

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