A machine learning model is trained to generate velocity fields that reproduce the observed trajectories of floating sensors, enabling flow estimation in 2D flows like cylinder wakes and ocean currents without governing equations or ground-truth data.
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Machine-learning based flow field estimation using floating sensor locations
A machine learning model is trained to generate velocity fields that reproduce the observed trajectories of floating sensors, enabling flow estimation in 2D flows like cylinder wakes and ocean currents without governing equations or ground-truth data.