Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-EnsemblesWunsch, Andreas ; Liesch, Tanja ; Broda, StefanWater resources management, 2022, Vol.36 (1), p.39-54 [Periódico revisado por pares]Dordrecht: Springer NetherlandsTexto completo disponível |
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2 |
Material Type: Artigo
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Deep learning shows declining groundwater levels in Germany until 2100 due to climate changeWunsch, Andreas ; Liesch, Tanja ; Broda, StefanNature communications, 2022-03, Vol.13 (1), p.1221-1221, Article 1221 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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3 |
Material Type: Artigo
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Karst spring discharge modeling based on deep learning using spatially distributed input dataWunsch, Andreas ; Liesch, Tanja ; Cinkus, Guillaume ; Ravbar, NataÅ¡a ; Chen, Zhao ; Mazzilli, Naomi ; Jourde, Hervé ; Goldscheider, NicoHydrology and earth system sciences, 2022-05, Vol.26 (9), p.2405-2430 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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4 |
Material Type: Artigo
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Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)Wunsch, Andreas ; Liesch, Tanja ; Broda, StefanJournal of hydrology (Amsterdam), 2018-12, Vol.567, p.743-758 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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5 |
Material Type: Artigo
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Aquifer responses to long-term climatic periodicitiesLiesch, Tanja ; Wunsch, AndreasJournal of hydrology (Amsterdam), 2019-05, Vol.572, p.226-242 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
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6 |
Material Type: Artigo
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Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practicesKarimanzira, Divas ; Weis, Jonas ; Wunsch, Andreas ; Ritzau, Linda ; Liesch, Tanja ; Ohmer, MarcFrontiers in water, 2023-07, Vol.5 [Periódico revisado por pares]Frontiers Media S.ATexto completo disponível |
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7 |
Material Type: Artigo
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)Wunsch, Andreas ; Liesch, Tanja ; Broda, StefanHydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671-1687 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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8 |
Material Type: Artigo
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Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methodsOhmer, Marc ; Liesch, Tanja ; Wunsch, AndreasHydrology and earth system sciences, 2022-08, Vol.26 (15), p.4033-4053 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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9 |
Material Type: Artigo
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memoryWunsch, Andreas ; Liesch, Tanja ; Broda, StefanHydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671 [Periódico revisado por pares]Copernicus GmbHTexto completo disponível |
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10 |
Material Type: Artigo
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When best is the enemy of good – critical evaluation of performance criteria in hydrological modelsCinkus, Guillaume ; Mazzilli, Naomi ; Jourde, Hervé ; Wunsch, Andreas ; Liesch, Tanja ; Ravbar, NataÅ¡a ; Chen, Zhao ; Goldscheider, NicoHydrology and earth system sciences, 2023-07, Vol.27 (13), p.2397-2411 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |