no code implementations • 3 Dec 2020 • Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza
This work proposes a spectral convolutional neural network (CNN) operating on laser induced breakdown spectroscopy (LIBS) signals to learn to (1) disentangle spectral signals from the sources of sensor uncertainty (i. e., pre-process) and (2) get qualitative and quantitative measures of chemical content of a sample given a spectral signal (i. e., calibrate).