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Kisi, O.; Azamathulla, H.M.; Cevat, F.; Kulls, C.; Kuhdaragh, M.; Fuladipanah, M. |
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Title |
Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship |
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2024 |
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Results in Engineering |
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22 |
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102017 |
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Elsevier |
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THL @ christoph.kuells @ kisi2024enhancing |
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217 |
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Kisi, O.; Heddam, S.; Parmar, K.S.; Yaseen, Z.M.; Kulls, C. |
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Title |
Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data |
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Year |
2024 |
Publication |
Stochastic Environmental Research and Risk Assessment |
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38 |
Issue |
6 |
Pages |
2489-2519 |
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Springer Berlin Heidelberg Berlin/Heidelberg |
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no |
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THL @ christoph.kuells @ kisi2024improved |
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221 |
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Kisi, O.; Liepelt, K.; Kulls, C. |
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Title |
Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” |
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Journal Article |
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Year |
2023 |
Publication |
Journal of Hydrologic Engineering |
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28 |
Issue |
4 |
Pages |
07023001 |
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American Society of Civil Engineers |
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THL @ christoph.kuells @ kisi2023discussion |
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220 |
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Kisi, O.; Melo, C.G.L. e.; Fischer, L.; Brandt, H.; Heims, L.; Loaec, A.; Masomy, W.; Parvez, M.; Roehl, J.; Külls, C. |
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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 |
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2024 |
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Environmental Science and Pollution Research |
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1-4 |
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Springer Berlin Heidelberg Berlin/Heidelberg |
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THL @ christoph.kuells @ kisi2024comments |
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227 |
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Author |
Krüger, N.; Külls, C. |
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Title |
Modeling soil moisture variations for direct groundwater recharge estimation in the critical zone |
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Year |
2023 |
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Copernicus Meetings |
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THL @ christoph.kuells @ kruger2023modeling |
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215 |
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