Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

The first known case of Coronavirus disease 2019 (COVID-19) was identified in December 2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and costs to many countries. Predicting the number of new cases and deaths during this period can be a useful step in predicting...

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Bibliographic Details
Main Authors:	Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan M. Gorriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jiří Jaromír Klemeš, Amir Mosavi
Format:	Article
Language:	English
Published:	Elsevier 2021-08-01
Series:	Results in Physics
Subjects:	Long Short Term Memory (LSTM) Convolutional Long Short Term Memory (Conv-LSTM) Gated Recurrent Unit (GRU) Bidirectional New Cases of COVID-19 New Deaths of COVID-19
Online Access:	http://www.sciencedirect.com/science/article/pii/S2211379721006069

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