Ozancan Ozdemir

Ozancan Ozdemir

PhD Candidate at Bernoulli Institute for for Mathematics, Computer Science and Artificial Intelligence. Machine Learning and Deep Learning Enthisuasist.

Leveraging Ensemble and Hybrid Forecasting Tools to Increase Accuracy: Turkey COVID-19 Case Study

Published in SN Computer Science, 2025

Recommended citation: Evkaya, O. O., Kurnaz, F. S., Ozdemir, O., & Yigit, P. (2025). Leveraging ensemble and hybrid forecasting tools to increase accuracy: Turkey COVID-19 case study. SN Computer Science, 6(2). https://doi.org/10.1007/s42979-025-03658-2 https://doi.org/10.1007/s42979-025-03658-2

Overview

This article examines how ensemble and hybrid forecasting tools can improve predictive accuracy through a Turkey COVID-19 case study. It contributes to applied forecasting research by comparing model combinations and highlighting the value of hybrid approaches in complex, rapidly changing public health settings.

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Citation

Evkaya, O. O., Kurnaz, F. S., Ozdemir, O., & Yigit, P. (2025). Leveraging ensemble and hybrid forecasting tools to increase accuracy: Turkey COVID-19 case study. SN Computer Science, 6(2). https://doi.org/10.1007/s42979-025-03658-2