A gradient boosting regressor trained on 17 fluid-structure interaction simulations estimates corneal air puff pressure loads in seconds, and a neural network reconstructs pressure and deformation distributions using Gaussian-modulated waveforms.
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Reduced order modelling of air puff test for corneal material characterisation
A gradient boosting regressor trained on 17 fluid-structure interaction simulations estimates corneal air puff pressure loads in seconds, and a neural network reconstructs pressure and deformation distributions using Gaussian-modulated waveforms.