Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Kisi, O.; Liepelt, K.; Kulls, C. |
Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” |
2023 |
Journal of Hydrologic Engineering |
28 |
07023001 |
| Kisi, O.; Heddam, S.; Parmar, K.S.; Yaseen, Z.M.; Kulls, C. |
Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data |
2024 |
Stochastic Environmental Research and Risk Assessment |
38 |
2489-2519 |
| Kisi, O.; Azamathulla, H.M.; Cevat, F.; Kulls, C.; Kuhdaragh, M.; Fuladipanah, M. |
Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship |
2024 |
Results in Engineering |
22 |
102017 |
| Kisi, O.; Ardiçlio\uglu, M.; Hadi, A.M.W.; Kuriqi, A.; Kulls, C. |
Estimation of mean velocity upstream and downstream of a bridge model using metaheuristic regression methods |
2023 |
Water Resources Management |
37 |
5559-5580 |
| Kisi, O.; Ajri, S.; Jörgens, K.C.; Karande, A.; Kraus, S.; Naumann, B.; Nierman, K.; Seel, W.; Kulls, C. |
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 |
2023 |
Environmental Science and Pollution Research |
30 |
109854-109855 |
