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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., Ajri, S., Jörgens, K. C., Karande, A., Kraus, S., Naumann, B., et al. (2023). Comments on “Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques” by Wu, Yangi et al., https://doi. org/10.1007/s11356-022-22048-2. Environmental Science and Pollution Research, 30(50), 109854–109855.
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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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Eliades, M., Bruggeman, A., Djuma, H., Christofi, C., & Kuells, C. (2022). Quantifying evapotranspiration and drainage losses in a semi-arid nectarine (Prunus persica var. nucipersica) field with a dynamic crop coefficient (Kc) derived from leaf area index measurements. Water, 14(5), 734.
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Külls, C., & Bassukas, D. (2022). Groundwater salinization dynamics-a conceptual modeling approach to prioritize water management plans in a changing environment. In EGU General Assembly Conference Abstracts (22).
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