| Author |
Title |
Year  |
Publication |
Volume |
Pages |
| 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.; 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.; Melo, C.G.L. e.; Fischer, L.; Brandt, H.; Heims, L.; Loaec, A.; Masomy, W.; Parvez, M.; Roehl, J.; Külls, C. |
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 |
2024 |
Environmental Science and Pollution Research |
|
1-4 |
| 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 |
| 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 |
