Optimization of the Mixed Gas Detection Method Based on Neural Network Algorithm-Reference-Cited by-同舟云学术

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Optimization of the Mixed Gas Detection Method Based on Neural Network Algorithm

Published:2023-01-26 Issue:2 Volume:8 Page:822-828
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Li Xiulei¹,Guo Jiayi¹,Xu Wangping¹^ORCID,Cao Juexian¹

Affiliation:

1. Department of Physics & Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan411105, PR China

Funder

Education Department of Hunan Province

National Natural Science Foundation of China

The science and technology innovation Program of Hunan Province

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.2c02450

Reference34 articles.

1. An optoelectronic nose for the detection of toxic gases

2. Ag/ZnO nanomaterials as high performance sensors for flammable and toxic gases

3. The Accident Path of Coal Mine Gas Explosion Based on 24Model: A Case Study of the Ruizhiyuan Gas Explosion Accident

4. Resolving Cross-Sensitivity Effect in Fluorescence Quenching for Simultaneously Sensing Oxygen and Ammonia Concentrations by an Optical Dual Gas Sensor

5. Improving humidity selectivity in formaldehyde gas sensing by a two-sensor array made of Ga-doped ZnO

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