A novel electronic nose classification prediction method based on TETCN-Reference-Cited by-同舟云学术

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A novel electronic nose classification prediction method based on TETCN

Published:2024-04 Issue: Volume:405 Page:135272
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Wu Fan,Ma Ruilong,Li Yiran,Li Fei,Duan Shukai,Peng Xiaoyan

Funder

Natural Science Foundation Project of Chongqing

Natural Science Foundation of Chongqing Municipality

Graduate Scientific Research and Innovation Foundation of Chongqing

Publisher

Elsevier BV

Reference33 articles.

1. Review of electronic-nose technologies and algorithms to detect hazardous chemicals in the environment;Wilson;Procedia Technol.,2012

2. Exhaled human breath analysis in active pulmonary tuberculosis diagnostics by comprehensive gas chromatography-mass spectrometry and chemometric techniques;Beccaria;J. Breath. Res.,2018

3. Seized cannabis seeds cultivated in greenhouse: a chemical study by gas chromatography-mass spectrometry and chemometric analysis;de Cássia Mariotti;Sci. Justice,2016

4. Applications and advances in electronic-nose technologies;Wilson;sensors,2009

5. RHINOS: a lightweight portable electronic nose for real-time odor quantification in wastewater treatment plants;Burgués;IScience,2021

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1. Olfactory Diagnosis Model for Lung Health Evaluation Based on Pyramid Pooling and SHAP-Based Dual Encoders;ACS Sensors;2024-09-09

2. High-performance gas sensor utilizing g-C3N4/In2O3 composite for low concentration prediction to NO2;Sensors and Actuators B: Chemical;2024-09

3. Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array;Nano-Micro Letters;2024-08-14

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