Author:
Guler Dincer Nevin,Demir Serdar,Yalçin Muhammet Oğuzhan
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Reference39 articles.
1. Hernandez-Matamoros, A., Fujita, H., Hayashi, T., Perez-Meana, H.: Forecasting of COVID19 per regions using ARIMA models and polynomial function. Appl. Soft Comput. 96, 106610 (2020)
2. Roy, S., Bhunia, G.S., Shit, P.K.: Spatial prediction of COVID19 epidemic using ARIMA techniques in India. Model. Earth Syst. Environ. 7, 1385–1391 (2020)
3. Malki, Z., Atlam, E., Ewis Dagnew, A.G., Alzighaibi, A.R., Elmarhomy, G., Elhosseini, M.A., Hassanien, A.E., Gad, I.: ARIMA models for predicting the end of COVID19 pandemic and the risk of second rebound. Neural Comput. Appl. 33, 2929–2948 (2021)
4. Perone, G.: Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID19 hospitalizations in Italy. Eur. J. Health Econ. https://link.springer.com/article/10.1007%2Fs10198-021-01347-4 (2021)
5. Pinter, G., Felde, I., Mosavi, A., Ghamisi, P., Gloaguen, R.: COVID19 Pandemic prediction for Hungary: a hybrid machine learning approach. Mathematics 8(6), 1–20 (2020)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献