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Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM
COVID-19, responsible of infecting billions of people and economy across the globe, requires detailed study of the trend it follows to develop adequate short-term prediction models for forecasting the number of future cases. In this perspective, it is possible to develop strategic planning in the pu...
Gorde:
| Argitaratua izan da: | Chaos Solitons Fractals |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Elsevier Ltd.
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7437542/ https://ncbi.nlm.nih.gov/pubmed/32839642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2020.110212 |
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