Contrastive domain generalization convolution neural network correcting the drift of gas sensors-Reference-Cited by-同舟云学术

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Contrastive domain generalization convolution neural network correcting the drift of gas sensors

Published:2024-07 Issue: Volume:372 Page:115314
ISSN:0924-4247
Container-title:Sensors and Actuators A: Physical
language:en
Short-container-title:Sensors and Actuators A: Physical

Author:

Chu Jifeng,Yao Renhong,Huang Xianbo,Yang Aijun,Pan Jianbin,Yuan Huan,Rong Mingzhe,Wang Xiaohua

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

State Key Laboratory of Electrical Insulation and Power Equipment

China Postdoctoral Science Foundation

Xi’an Jiaotong University

Fundamental Research Funds for the Central Universities

Key Research and Development Projects of Shaanxi Province

Publisher

Elsevier BV

Reference32 articles.

1. Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: a review;Tan;Artif. Intell. Agric.,2020

2. Ultra-large Sn3O4 nanosheets with Sn2+ defect for highly efficient hydrogen sensing;Liu;Sens. Actuators B Chem.,2024

3. Food quality and safety monitoring using gas sensor array in intelligent packaging;Matindoust;Sens. Rev.,2016

4. Microchip employing short period thermal modulation for the detection of H2S and SO2 mixtures;Chu;IEEE Trans. Instrum. Meas.,2023

5. Real-time monitoring of air discharge in a switchgear by an intelligent NO2 sensor module;Wang;ACS Sens.,2023

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