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Mario Rüttgers
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2020 – today
- 2024
- [j7]Mario Rüttgers
, Moritz Waldmann
Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning. Comput. Biol. Medicine 173: 108383 (2024) - [j6]Aito Higashida, Kazuto Ando
Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields. Future Gener. Comput. Syst. 159: 243-254 (2024) - [j5]Xin Liu
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. Future Gener. Comput. Syst. 159: 474-488 (2024) - [j4]Rishabh Puri
On the choice of physical constraints in artificial neural networks for predicting flow fields. Future Gener. Comput. Syst. 161: 361-375 (2024) - 2023
- [i2]Heesoo Shin, Mario Rüttgers, Sangseung Lee:
How Regional Wind Characteristics Affect CNN-based wind predictions: Insights from Spatiotemporal Correlation Analysis. CoRR abs/2304.01545 (2023) - 2022
- [j3]Mario Rüttgers
Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data. IEEE Access 10: 48434-48446 (2022) - [j2]Mario Rüttgers
A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows. Appl. Intell. 52(8): 9080-9100 (2022) - 2021
- [j1]Hussein Aljawad
Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study. J. Digit. Imaging 34(5): 1120-1133 (2021) - [c2]Mario Rüttgers
Machine-Learning-Based Control of Perturbed and Heated Channel Flows. ISC Workshops 2021: 7-22 - 2020
- [c1]Mario Rüttgers
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning. ISC Workshops 2020: 81-101
2010 – 2019
- 2018
- [i1]Mario Rüttgers, Sangseung Lee, Donghyun You:
Typhoon track prediction using satellite images in a Generative Adversarial Network. CoRR abs/1808.05382 (2018)
Coauthor Index
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