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Krüger, N.; Külls, C.; Bruggeman, A.; Eliades, M.; Christophi, C.; Rigas, M.; Eracleous, T. |
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Groundwater recharge estimates with soil isotope profiles–is there a bias on coarse-grained hillslopes? |
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2020 |
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Copernicus Meetings |
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THL @ christoph.kuells @ kruger2020groundwater |
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205 |
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Kisi, O.; Heddam, S.; Parmar, K.S.; Yaseen, Z.M.; Kulls, C. |
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Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data |
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2024 |
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Stochastic Environmental Research and Risk Assessment |
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38 |
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6 |
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2489-2519 |
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Springer Berlin Heidelberg Berlin/Heidelberg |
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THL @ christoph.kuells @ kisi2024improved |
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221 |
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Kisi, O.; Azamathulla, H.M.; Cevat, F.; Kulls, C.; Kuhdaragh, M.; Fuladipanah, M. |
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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.; 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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Springer Berlin Heidelberg Berlin/Heidelberg |
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THL @ christoph.kuells @ kisi2024comments |
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227 |
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Kisi, O.; Ardiçlio\uglu, M.; Hadi, A.M.W.; Kuriqi, A.; Kulls, C. |
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Title |
Estimation of mean velocity upstream and downstream of a bridge model using metaheuristic regression methods |
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Year |
2023 |
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Water Resources Management |
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37 |
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14 |
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5559-5580 |
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Springer Netherlands Dordrecht |
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THL @ christoph.kuells @ kisi2023estimation |
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223 |
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