Models for COVID-19 Data Prediction Based on Improved LSTM-ARIMA Algorithms
The global repercussions of the COVID-19 pandemic on economies and public health worldwide have been profound. This study aims to examine the developmental trends of the COVID-19 pandemic, establish predictive models, and provide insights for effective control measures against potential future disea...
Main Authors: | Yong-Chao Jin, Qian Cao, Qian Sun, Ye Lin, Dong-Mei Liu, Shan-Yu, Chen-Xi Wang, Xiao-Ling Wang, Xi-Yin Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10374119/ |
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