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Generalization capabilities of conditional GAN for turbulent flow under changes of geometry
As training data, we use the flow around a low-pressure turbine (LPT) stator with periodic wake impact obtained from highly resolved LES.
Generative Modeling of Turbulence
Based on this analysis, we study a hierarchy of chaotic systems starting with the Lorenz attractor and then carry on to the modeling of turbulent flows with GAN.
Background-Foreground Segmentation for Interior Sensing in Automotive Industry
In this work, we compare different statistical methods from the field of image segmentation to approach the problem of background-foreground segmentation in camera based interior sensing.
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