COVID-19 Seasonal Effect on Infection Cases and Forecasting Using Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50920-9_15
Reference21 articles.
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2. Shahid, F., Zameer, A., Muneeb, M.: Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM. Chaos Solitons Fractals 140, 110212 (2020). https://doi.org/10.1016/j.chaos.2020.110212
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5. Siami-Namini, S., Tavakoli, N., Namin, A.S.: A comparison of ARIMA and LSTM in forecasting time series. In: Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, pp. 1394–1401 (2019). https://doi.org/10.1109/ICMLA.2018.00227
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