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TU Berlin

Inhalt des Dokuments

Publikationen

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Matta, E.; Ma, Y; Meißner, D.; Richter, J.; Schellenberg, H.; Hinkelmann, R. (2018). Neural Networks approaches to optimize water level predictions for inland navigation. EUROCONTROL TIM/ART Workshop on Machine Learning


Hinkelmannr.R., Nasermoadeli,M.H., Liong,S.Y., Savic,D., Froele,P. & Daemrich,K.F. (2012). Understanding Changing Climate and Environment and Finding Solutions..



Özgen, I., Liang, D., Om, J. & Hinkelmann, R. (2016). Shallow water model with anisotropic porosity: A case study of dam-break flow in an idealized city. 12th International Conference on Hydroinformatics





Tügel, F., Özgen, I., Hadidi, A., Tröger, U. & Hinkelmann, R. (2018). Modelling of flash floods in wadi systems using a robust shallow water model – case study El Gouna, Egypt. Advances in Hydroinformatics. Springer, Singapore, 579-593.



Notay,K.V., Stadler,L., Simons,F., Molkenthin,F. & Hinkelmann,R. (2012). Model Coupling in Hydroinformatics Systems through the Use of Autonomous Tensor Objects.



Hou,J., Simons,F. & Hinkelmann,R. (2012). A new TVD method for advection simulation on 2D unstructured grids.



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