Development of Algorithm for Forecasting System Software
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-14197-3_14
Reference14 articles.
1. Abotaleb, M.S.: Predicting Covid-19 cases using some statistical models: An application to the cases reported in China, Italy and USA. Acad. J. Appl. Math. Sci. 6(4), 32–40 (2020). https://doi.org/10.32861/ajams.64.32.40
2. Makarovskikh, T.A., Abotaleb, M.S.A.: Automatic selection of ARIMA model parameters to forecast Covid-19 infection and death cases. Vestnik Yuzhno-Ural’skogo Gosudarstvennogo Universiteta. Seriya Vychislitelnaya Matematika i Informatika 10(2), 20–37 (2021). https://doi.org/10.14529/cmse210202
3. Abotaleb, M.S.A., Makarovskikh, T.A.: Development of algorithms for choosing the best time series models and neural networks to predict Covid-19 cases. Bull. South Ural State Univ. Ser. Comput. Tech. Autom. Control Radio Electron. 21(3), 26–35 (2021). https://doi.org/10.14529/ctcr210303
4. Roy, S., Bhunia, G.S., Shit, P.K.: Spatial prediction of COVID-19 epidemic using ARIMA techniques in India. Model. Earth Syst. Environ. 7, 1385–1391 (2021). https://doi.org/10.1007/s40808-020-00890-y
5. Al-Turaiki, I., Almutlaq, F., Alrasheed, H., Alballa, N.: Empirical evaluation of alternative time-series models for COVID-19 forecasting in Saudi Arabia. Int. J. Environ. Res. Public Health 18(16), 8660 (2021). https://doi.org/10.3390/ijerph18168660
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