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KeAi Communications, Atmospheric and Oceanic Science Letters, 4(14), p. 100019, 2021

DOI: 10.1016/j.aosl.2020.100019

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Improvement of the global prediction system of the COVID-19 pandemic based on the ensemble empirical mode decomposition (EEMD) and autoregressive moving average (ARMA) model in a hybrid approach 基于集合经验模态分解和自回归-移动平均模型的 COVID-19 流行病全球预测系统预测结果改进

Journal article published in 2021 by Chuwei Liu, Jianping Huang, Fei Ji, Li Zhang, Xiaoyue Liu ORCID, Yun Wei, Xinbo Lian
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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