Concentration prediction of binary-component gases based on SnO2 sensor array with machine learning algorithms-Reference-Cited by-同舟云学术

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Concentration prediction of binary-component gases based on SnO2 sensor array with machine learning algorithms

Published:2023-03-09 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Optoelectronic Materials and Devices (ICOMD 2022)
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Author:

Gu Yunlong,Li Meihua,Gao Xiaodong,Zhang Yunfan,Ge Shikun,Mou Chao

Publisher

SPIE

Reference12 articles.

1. LaNbO4 as an electrode material for mixed-potential CO gas sensors

2. A vertical CuO-NWS/MEMS NO2 gas sensor that is produced by sputtering

3. In2O3-SnO2 hybrid porous nanostructures delivering enhanced formaldehyde sensing performance

4. Acetone Gas Sensing Properties of NiO Particle-Decorated TeO2 Nanorod Sensors

5. Facile one-step hydrothermal synthesis of SnO2 microspheres with oxygen vacancies for superior ethanol sensor

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