| Author |
Title |
Year |
Publication  |
Volume |
Pages |
| 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 |
| 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 |
| Krüger, N.; Külls, C.; Bruggeman, A.; Christofi, C. |
Groundwater recharge estimation in Mediterranean mountain environments by isotope profiles–Partitioning of macropore and matrix flow |
2024 |
Journal of Hydrology |
637 |
131352 |
| 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 |
