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Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN

Xuesi Li, Xianyin Hu, Ang Li, Reo Kometani, Ichiro Yamada, Kazuyuki Sashida, Makiko Noma, Katsufumi Nakanishi, Yusuke Fukuda, Toshiyuki Takemori, Kenichi Maehara, Katsuya Ikeda, Kenichi Yoshida, Yoshio Mita, Shin’ichi Warisawa

2022Sensors and Actuators A Physical14 citationsDOI

Topics & Concepts

Noise (video)Binary numberAcetoneBiological systemMaterials scienceComputer scienceAnalytical Chemistry (journal)Pattern recognition (psychology)ChemistryArtificial intelligenceChromatographyMathematicsOrganic chemistryBiologyArithmeticImage (mathematics)Advanced Chemical Sensor TechnologiesGas Sensing Nanomaterials and SensorsAnalytical Chemistry and Sensors
Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN | Litcius