Explore projects

Reproducibility study of a multiscale CNN used for modelling PDE's

A deep learning auto-regressive method is trained to learn the acoustic propagation in presence of obstacles. The method is flexible to account for both far-fields prediction (non-reflecting cases) as well as duct acoustics (non-reflecting BCs).

Library for performing acoustic beamforming from signal obtained with an array of microphones.

Contains SEMpy's documentation and a set of examples of the library applications.

Plant segmentation for the farmbot.