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A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting
The COVID-19 pandemic has disrupted the economy and businesses and impacted all facets of people’s lives. It is critical to forecast the number of infected cases to make accurate decisions on the necessary measures to control the outbreak. While deep learning models have proved to be effective in th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502508/ https://www.ncbi.nlm.nih.gov/pubmed/34658536 http://dx.doi.org/10.1007/s00521-021-06548-9 |