|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
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.; 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 |
|
|
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 |
|
|
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 |
|