Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning › Research Explorer

DOI

https://doi.org/10.3390/s24237518
Final published version

Pavel Borozdin
Evgenii Erushin
Artem Kozmin
Anastasia Bednyakova
Ilya Miroshnichenko
Nadezhda Kostyukova
Andrey Boyko
Alexey Redyuk

Original language	English
Article number	7518
Journal	Sensors
Volume	24
Issue number	23
DOIs	https://doi.org/10.3390/s24237518
Publication status	Published - Dec 2024

OECD FOS+WOS

1.04.EA CHEMISTRY, ANALYTICAL
2.02.IQ ENGINEERING, ELECTRICAL & ELECTRONIC
1.04.HQ ELECTROCHEMISTRY
2.11.OA INSTRUMENTS & INSTRUMENTATION

Research areas

accuracy, long short-term memory networks, machine learning, methane, neural networks, optical sensing, photoacoustic gas sensor, photoacoustic spectroscopy, sensitivity enhancement

ID: 61281737