| Records |
| Author |
Kisi, O.; Liepelt, K.; Kulls, C. |
| Title |
Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” |
Type |
Journal Article |
| Year |
2023 |
Publication |
Journal of Hydrologic Engineering |
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| Volume |
28 |
Issue  |
4 |
Pages |
07023001 |
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American Society of Civil Engineers |
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| Call Number |
THL @ christoph.kuells @ kisi2023discussion |
Serial |
220 |
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| Author |
Adnan, R.M.; Dai, H.-L.; Kisi, O.; Heddam, S.; Kim, S.; Kulls, C.; Zounemat-Kermani, M. |
| Title |
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm |
Type |
Journal Article |
| Year |
2023 |
Publication |
Environmental Science and Pollution Research |
Abbreviated Journal |
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| Volume |
30 |
Issue |
41 |
Pages |
94312-94333 |
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Springer Berlin Heidelberg Berlin/Heidelberg |
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no |
| Call Number |
THL @ christoph.kuells @ adnan2023modelling |
Serial |
218 |
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| Author |
Panagopoulos, G. |
| Title |
Application of major and trace elements as well as boron isotopes for tracing hydrochemical processes: the case of Trifilia coastal karst aquifer, Greece |
Type |
Journal Article |
| Year |
2009 |
Publication |
Environmental Geology |
Abbreviated Journal |
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| Volume |
58 |
Issue |
5 |
Pages |
1067-1082 |
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0943-0105 |
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Greece |
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no |
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THL @ christoph.kuells @ Panagopoulos2009 |
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36 |
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| Author |
Eliades, M.; Bruggeman, A.; Djuma, H.; Christofi, C.; Kuells, C. |
| Title |
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 |
Type |
Journal Article |
| Year |
2022 |
Publication |
Water |
Abbreviated Journal |
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| Volume |
14 |
Issue |
5 |
Pages |
734 |
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Mdpi |
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THL @ christoph.kuells @ eliades2022quantifying |
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211 |
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Kisi, O.; Ajri, S.; Jörgens, K.C.; Karande, A.; Kraus, S.; Naumann, B.; Nierman, K.; Seel, W.; Kulls, C. |
| Title |
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 |
Type |
Journal Article |
| Year |
2023 |
Publication |
Environmental Science and Pollution Research |
Abbreviated Journal |
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| Volume |
30 |
Issue |
50 |
Pages |
109854-109855 |
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| Publisher |
Springer Berlin Heidelberg Berlin/Heidelberg |
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no |
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THL @ christoph.kuells @ kisi2023comments |
Serial |
222 |
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