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Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
Researchers around the world are applying various prediction models for COVID-19 to make informed decisions and impose appropriate control measures. Because of a high degree of uncertainty and lack of necessary data, the traditional models showed low accuracy over the long term forecast. Although th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier B.V.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423518/ https://www.ncbi.nlm.nih.gov/pubmed/32834800 http://dx.doi.org/10.1016/j.asoc.2020.106626 |