Deep Learning for Gas Sensing via Infrared Spectroscopy
M. Arshad Zahangir Chowdhury,
Matthew A. Oehlschlaeger
Abstract:Deep learning methods, a powerful form of artificial intelligence, have been applied in a number of spectroscopy and gas sensing applications. However, the speciation of multi-component gas mixtures from infrared (IR) absorption spectra using deep learning remains to be explored. Here, we propose a one-dimensional deep convolutional neural network gas classification model for the identification of small molecules of interest based on IR absorption spectra in flexible user-defined frequency ranges. The molecule… Show more
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