Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas. (arXiv:2112.08447v2 [cs.CV] UPDATED)

Approximating wind flows using computational fluid dynamics (CFD) methods can
be time-consuming. Creating a tool for interactively designing prototypes while
observing the wind flow change requires simpler models to simulate faster.
Instead of running numerical approximations resulting in detailed calculations,
data-driven methods and deep learning might be able to give similar results in
a fraction of the time. This work rephrases the problem from computing 3D flow
fields using CFD to a 2D image-to-image translation-based problem on the
building footprints …

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