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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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Adnan, R. M., Dai, H. - L., Kisi, O., Heddam, S., Kim, S., Kulls, C., et al. (2023). Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm. Environmental Science and Pollution Research, 30(41), 94312–94333.
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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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Kisi, O., Heddam, S., Parmar, K. S., Yaseen, Z. M., & Kulls, C. (2024). Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data. Stochastic Environmental Research and Risk Assessment, 38(6), 2489–2519.
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