| Author |
Title |
Year |
Publication |
Volume |
Pages |
| 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 |
| Jin, Z.; Külls, C. |
FDM based OA-ICOS for high accuracy 13C quantification in gaseous CO2 |
2020 |
IOP Conference Series: Earth and Environmental Science |
446 |
032061 |
| Joseph, J.; Külls, C.; Arend, M.; Schaub, M.; Hagedorn, F.; Gessler, A.; Weiler, M. |
Application of a laser-based spectrometer for continuous in situ measurements of stable isotopes of soil CO 2 in calcareous and acidic soils |
2019 |
Soil |
5 |
49-62 |
| Kisi, O.; Ajri, S.; Jörgens, K.C.; Karande, A.; Kraus, S.; Naumann, B.; Nierman, K.; Seel, W.; Kulls, C. |
Comments on “Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques” by Wu, Yangi et al., https://doi. org/10.1007/s11356-022-22048-2 |
2023 |
Environmental Science and Pollution Research |
30 |
109854-109855 |
| 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 |
