| 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 |
| Mahindawansha, A.; Külls, C.; Kraft, P.; Breuer, L. |
Investigating unproductive water losses from irrigated agricultural crops in the humid tropics through analyses of stable isotopes of water |
2020 |
Hydrology and Earth System Sciences |
24 |
3627-3642 |
| 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 |
| Ola, I.; Drebenstedt, C.; Burgess, R.M.; Mensah, M.; Hoth, N.; Külls, C. |
Remediating Oil Contamination in the Niger Delta Region of Nigeria: Technical Options and Monitoring Strategies |
2024 |
The Extractive Industries and Society |
17 |
101405 |
| Eliades, M.; Bruggeman, A.; Djuma, H.; Christofi, C.; Kuells, C. |
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 |
2022 |
Water |
14 |
734 |
