Publisher
Springer Science and Business Media LLC
Reference53 articles.
1. Abbasimehr, H., & Paki, R. (2021). Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization. Chaos, Solitons & Fractals, 142, 110511.
2. ain, A., Sukhdeve, T., Gadia, H., Sahu, S. P., & Verma, S. (2021). COVID19 prediction using time series analysis. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). IEEE, pp. 1599–1606.
3. Alali, Y., Harrou, F., & Sun, Y. (2022). A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models. Scientific Reports, 12(1), 2467.
4. Alassafi, M. O., Jarrah, M., & Alotaibi, R. (2022). Time series predicting of COVID-19 based on deep learning. Neurocomputing, 468, 335–344.
5. Alazab, M., Awajan, A., Mesleh, A., Abraham, A., Jatana, V., & Alhyari, S. (2020). COVID-19 prediction and detection using deep learning. International Journal of Computer Information Systems and Industrial Management Applications, 12(June), 168–181.
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