A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06548-9.pdf
Reference54 articles.
1. Gorbalenya AE, Baker SC, Baric RS, de Groot RJ, Drosten C, Gulyaeva AA, Haagmans BL, Lauber C, Leontovich AM, Neuman BW, Penzar D, Perlman S, Poon LLM, Samborskiy DV, Sidorov IA, Sola I, Ziebuhr J, Coronaviridae Study Group of the International Committee on Taxonomy of V (2020) The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nature Microbiology 5(4):536–544. https://doi.org/10.1038/s41564-020-0695-z
2. Nikolopoulos K, Punia S, Schäfers A, Tsinopoulos C, Vasilakis C (2021) Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions. Eur J Oper Res 290(1):99–115. https://doi.org/10.1016/j.ejor.2020.08.001
3. Torrealba-Rodriguez O, Conde-Gutiérrez R, Hernández-Javier A (2020) Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models. Chaos, Solitons & Fractals:109946
4. Abbasimehr H, Paki R (2021) Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization. Chaos, Solitons & Fractals 142:110511. https://doi.org/10.1016/j.chaos.2020.110511
5. Abbasimehr H, Paki R, Bahrini A (2021) Improving the performance of deep learning models using statistical features: The case study of COVID-19 forecasting. Mathematical Methods in the Applied Sciences. https://doi.org/10.1002/mma.7500
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