Flow imaging as an alternative to non-intrusive measurements and surrogate models through vision transformers and convolutional neural networks
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DOI: 10.1063/5.0144700
Abstract: A numerical framework is proposed whereby flow imaging data are leveraged to extract relevant information from flowfield visualizations. To this end, a vision transformer (ViT) model is developed to predict quantities of interest from images… read more here.
Keywords: surrogate models; convolutional neural; imaging alternative; flow imaging ... See more keywords