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Kisi, O., Azamathulla, H. M., Cevat, F., Kulls, C., Kuhdaragh, M., & Fuladipanah, M. (2024). Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship. Results in Engineering, 22, 102017.
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Kisi, O., Melo, C. G. L. e., Fischer, L., Brandt, H., Heims, L., Loaec, A., et al. (2024). Comments on “Machine learning-based time series models for effective CO2 emission prediction in India” by Kumari and Singh, https://doi. org/10.1007/s11356-022–21723-8. Environmental Science and Pollution Research, , 1–4.
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Kisi, O., Ardiçlio\uglu, M., Hadi, A. M. W., Kuriqi, A., & Kulls, C. (2023). Estimation of mean velocity upstream and downstream of a bridge model using metaheuristic regression methods. Water Resources Management, 37(14), 5559–5580.
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Mehraein, M., Mohanavelu, A., Naganna, S. R., Kulls, C., & Kisi, O. (2022). Monthly streamflow prediction by metaheuristic regression approaches considering satellite precipitation data. Water, 14(22), 3636.
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Kisi, O., Liepelt, K., & Kulls, C. (2023). Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”. Journal of Hydrologic Engineering, 28(4), 07023001.
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