Author |
Title |
Year |
Publication |
Volume |
Pages |
Adnan, R.M.; Dai, H.-L.; Kisi, O.; Heddam, S.; Kim, S.; Kulls, C.; Zounemat-Kermani, M. |
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm |
2023 |
Environmental Science and Pollution Research |
30 |
94312-94333 |
Mehraein, M.; Mohanavelu, A.; Naganna, S.R.; Kulls, C.; Kisi, O. |
Monthly streamflow prediction by metaheuristic regression approaches considering satellite precipitation data |
2022 |
Water |
14 |
3636 |
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.; 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 |