COVID-19 positive cases prediction based on LSTM algorithm and its variants-Reference-Cited by-同舟云学术

COVID-19 positive cases prediction based on LSTM algorithm and its variants

Published:2022-03 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)
language:
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Author:

Liu Shiqi¹,Zhou Yuting¹,Yang Xuemei¹,Yin Junping²

Affiliation:

1. China Academy of Engineering Physics,CAEP,Beijing,China

2. Beijing Institute of Applied Physics and Computational Mathematics,APCM,Beijing,China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9852496/9852487/09852599.pdf?arnumber=9852599

Reference10 articles.

1. Hybrid deep learning-based epidemic prediction framework of COVID-19: South Korea case;firda;Applied Sciences,2020

2. Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India;parul;Chaos Solitons and Fractals,2020

3. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a model-ling study;joseph;The Lancet,2020

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