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Found 2 papers, 1 papers with code
Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks
The present work proposes a method to infer object geometry from scattering features by training convolutional neural networks.
Fast acoustic scattering using convolutional neural networks
Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation.
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