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Neural network powered COVID-19 spread forecasting model
Virus spread prediction is very important to actively plan actions. Viruses are unfortunately not easy to control, since speed and reach of spread depends on many factors from environmental to social ones. In this article we present research results on developing Neural Network model for COVID-19 sp...
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| Publicado no: | Chaos Solitons Fractals |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier Ltd.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7428770/ https://ncbi.nlm.nih.gov/pubmed/32834663 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2020.110203 |
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