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Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India
In this paper, Deep Learning-based models are used for predicting the number of novel coronavirus (COVID-19) positive reported cases for 32 states and union territories of India. Recurrent neural network (RNN) based long-short term memory (LSTM) variants such as Deep LSTM, Convolutional LSTM and Bi-...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298499/ https://www.ncbi.nlm.nih.gov/pubmed/32572310 http://dx.doi.org/10.1016/j.chaos.2020.110017 |