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-...

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Detalles Bibliográficos
Autores principales: Arora, Parul, Kumar, Himanshu, Panigrahi, Bijaya Ketan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
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

Internet

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

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