Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Livro
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Meine Expeditionen zu den Letzten ihrer Art Bei Berggorillas, Schneeleoparden und anderen bedrohten TierenAndreas Kieling Sabine WünschMünchen Malik Piper Verlag 2009Localização: FFLCH - Fac. Fil. Let. e Ciências Humanas (591.042 K58m 2.ed. )(Acessar) |
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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: Vídeo
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Mit Künstlicher Intelligenz dem Grundwasser auf der SpurBayless, Joshua ; KIT-Zentrum Klima Und UmweltKarlsruher Institut für Technologie (KIT) 2023Texto completo disponível |
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8 |
Material Type: Livro
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Siemens NX für Fortgeschrittene ‒ kurz und bündigBlaschke, Paul ; Wünsch, Andreas Schabacker, MichaelWiesbaden: Springer Fachmedien Wiesbaden 2023Sem texto completo |
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9 |
Material Type: Livro
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Siemens NX für Einsteiger – kurz und bündigBlaschke, Paul ; Wünsch, Andreas Schabacker, MichaelWiesbaden: Springer Fachmedien Wiesbaden 2023Sem texto completo |
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10 |
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 |