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Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids
An important tool for experimental fluids mechanics research is Particle Image Velocimetry (PIV). Several robust methodologies have been proposed to perform the estimation of velocity field from the images, however, alternative methods are still needed to increase the spatial resolution of the resul
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