Author  |
Title |
Year |
Publication |
Volume |
Pages |
| 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.; 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.; 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 |
| Kitanidis*, P.K. |
Introduction to geostatistics: Applications in hydrogeology |
1997 |
|
|
|
| Kloppmann, W.; Petelet-Giraud, E.; Guerrot, C.; Cary, L.; Pauwels, H. |
Extreme Boron Isotope Ratios in Groundwater |
2015 |
Procedia Earth and Planetary Science |
13 |
|
