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JIA YAN
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Cited by
Year
Electronic nose feature extraction methods: A review
J Yan, X Guo, S Duan, P Jia, L Wang, C Peng, S Zhang
Sensors 15 (11), 27804-27831, 2015
2692015
Volatile and nonvolatile memristive devices for neuromorphic computing
G Zhou, Z Wang, B Sun, F Zhou, L Sun, H Zhao, X Hu, X Peng, J Yan, ...
Advanced Electronic Materials 8 (7), 2101127, 2022
1052022
A background elimination method based on wavelet transform in wound infection detection by electronic nose
J Feng, F Tian, J Yan, Q He, Y Shen, L Pan
Sensors and Actuators B: Chemical 157 (2), 395-400, 2011
482011
Feature extraction from sensor data for detection of wound pathogen based on electronic nose
J Yan, F Tian, Q He, Y Shen, S Xu, J Feng, K Chaibou
Sensors and Materials 24 (2), 57-73, 2012
422012
Improving the performance of drifted/shifted electronic nose systems by cross-domain transfer using common transfer samples
R Yi, J Yan, D Shi, Y Tian, F Chen, Z Wang, S Duan
Sensors and Actuators B: Chemical 329, 129162, 2021
372021
Detection of wound pathogen by an intelligent electronic nose
F Tian, X Xu, Y Shen, J Yan, Q He, J Ma, T Liu
Sens. Mater 21 (3), 155-166, 2009
332009
Hybrid feature matrix construction and feature selection optimization-based multi-objective QPSO for electronic nose in wound infection detection
J Yan, S Duan, T Huang, L Wang
Sensor Review 36 (1), 23-33, 2016
312016
A novel extreme learning machine classification model for e-nose application based on the multiple kernel approach
Y Jian, D Huang, J Yan, K Lu, Y Huang, T Wen, T Zeng, S Zhong, Q Xie
Sensors 17 (6), 1434, 2017
302017
A novel electronic nose learning technique based on active learning: EQBC-RBFNN
X Jiang, P Jia, R Luo, B Deng, S Duan, J Yan
Sensors and Actuators B: Chemical 249, 533-541, 2017
292017
Enhancing electronic nose performance based on a novel QPSO-KELM model
C Peng, J Yan, S Duan, L Wang, P Jia, S Zhang
Sensors 16 (4), 520, 2016
272016
TDACNN: Target-domain-free domain adaptation convolutional neural network for drift compensation in gas sensors
Y Zhang, S Xiang, Z Wang, X Peng, Y Tian, S Duan, J Yan
Sensors and Actuators B: Chemical 361, 131739, 2022
262022
Subspace alignment based on an extreme learning machine for electronic nose drift compensation
J Yan, F Chen, T Liu, Y Zhang, X Peng, D Yi, S Duan
Knowledge-Based Systems 235, 107664, 2022
262022
Enhancing the discrimination ability of a gas sensor array based on a novel feature selection and fusion framework
C Deng, K Lv, D Shi, B Yang, S Yu, Z He, J Yan
Sensors 18 (6), 1909, 2018
262018
Classification of electronic nose data in wound infection detection based on PSO-SVM combined with wavelet transform
Q He, J Yan, Y Shen, Y Bi, G Ye, F Tian, Z Wang
Intelligent Automation & Soft Computing 18 (7), 967-979, 2012
252012
A novel feature extraction approach using window function capturing and QPSO-SVM for enhancing electronic nose performance
X Guo, C Peng, S Zhang, J Yan, S Duan, L Wang, P Jia, F Tian
Sensors 15 (7), 15198-15217, 2015
242015
Sensor Drift Compensation of E-nose Systems with Discriminative Domain Reconstruction Based on an Extreme Learning Machine
Z Wang, J Yan, F Chen, X Peng, Y Zhang, Z Wang, S Duan
IEEE Sensors Journal 21 (15), 17144-17153, 2021
212021
An enhanced quantum-behaved particle swarm optimization based on a novel computing way of local attractor
P Jia, S Duan, J Yan
Information 6 (4), 633-649, 2015
212015
Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data
Y Tian, J Yan, D Yi, Y Zhang, Z Wang, T Yu, X Peng, S Duan
IEEE Transactions on Instrumentation and Measurement 70 (8), 2513312, 2021
192021
Feature extraction of electronic nose signals using QPSO-based multiple KFDA signal processing
T Wen, J Yan, D Huang, K Lu, C Deng, T Zeng, S Yu, Z He
Sensors 18 (2), 388, 2018
192018
A solid trap and thermal desorption system with application to a medical electronic nose
X Xu, F Tian, SX Yang, Q Li, J Yan, J Ma
Sensors 8 (11), 6885-6898, 2008
192008
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