Deep Learning Algorithms for Chemometric Analysis in MIR Gas Spectroscopy
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Author
Chin, Sanghoon
Van Zaen, Jérôme
Muntané, Enric
Denis, Séverine
Lecomte, Steve
Balet, Laurent
DOI
10.1364/LACSEA.2024.LTu1F.3
Abstract
We have implemented machine learning techniques into a mid-infrared gas spectrometer for two specific goals: the improvement of chemometric analysis using artificial neural networks and geostatistical analysis over a geographic area using Kriging.
Publication Reference
Optica Sensing Congress 2024 (AIS, LACSEA, Sensors, QSM), Toulouse (France), pp. LTu1F.3
Year
2024-07-17
Sponsors
This project has received funding from Horizon 2020, the European Union’s Framework Program for Research and Innovation, under grant agreement No.101015825 (TRIAGE).