Classification of Electronic Nose Data in Wound Infection Detection Based on PSO-SVM Combined with Wavelet Transform. - Qinghua He; Jia Yan 002; Yue Shen; Yutian Bi; Guanghan Ye; Fengchun Tian; Zhengguo Wang (Intell. Autom. Soft Comput., 2012)

A PSO-SVM Method for Parameters and Sensor Array Optimization in Wound Infection Detection based on Electronic Nose. - Jia Yan 002; Fengchun Tian; Jingwei Feng; Pengfei Jia; Qinghua He; Yue Shen (J. Comput., 2012)

An Enhanced Quantum-Behaved Particle Swarm Optimization Based on a Novel Computing Way of Local Attractor. - Pengfei Jia; Shukai Duan 001; Jia Yan 002 (Inf., 2015)

A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance. - Xiuzhen Guo; Chao Peng; Songlin Zhang; Jia Yan 002; Shukai Duan 001; Lidan Wang 001; Pengfei Jia; Fengchun Tian (Sensors, 2015)

Electronic Nose Feature Extraction Methods: A Review. - Jia Yan 002; Xiuzhen Guo; Shukai Duan 001; Pengfei Jia; Lidan Wang 001; Chao Peng; Songlin Zhang (Sensors, 2015)

A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs. - Tailai Huang; Pengfei Jia; Peilin He; Shukai Duan 001; Jia Yan 002; Lidan Wang 001 (Sensors, 2016)

A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training. - Pengfei Jia; Tailai Huang; Shukai Duan 001; Lingpu Ge; Jia Yan 002; Lidan Wang 001 (Sensors, 2016)

A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections. - Pengfei Jia; Tailai Huang; Li Wang 097; Shukai Duan 001; Jia Yan 002; Lidan Wang 001 (Sensors, 2016)

Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model. - Chao Peng; Jia Yan 002; Shukai Duan 001; Lidan Wang 001; Pengfei Jia; Songlin Zhang (Sensors, 2016)

A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm. - Li Wang 097; Pengfei Jia; Tailai Huang; Shukai Duan 001; Jia Yan 002; Lidan Wang 001 (Sensors, 2016)

Feature extraction of electronic nose for classification of indoor pollution gases based on kernel entropy component analysis. - Jia Yan 002; Shukai Duan 001; Lidan Wang 001; Pengfei Jia; Tingwen Huang; Fengchun Tian; Kun Lu (Int. J. Intell. Syst. Technol. Appl., 2017)

A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach. - Yulin Jian; Daoyu Huang; Jia Yan 002; Kun Lu; Ying Huang; Tailai Wen; Tanyue Zeng; Shijie Zhong; Qilong Xie (Sensors, 2017)

Drift Compensation for E-Nose Using QPSO-Based Domain Adaptation Kernel ELM. - Yulin Jian; Kun Lu; Changjian Deng; Tailai Wen; Jia Yan 002 (ISNN, 2018)

Enhancing the Discrimination Ability of a Gas Sensor Array Based on a Novel Feature Selection and Fusion Framework. - Changjian Deng; Kun Lv; Debo Shi; Bo Yang; Song Yu; Zhiyi He; Jia Yan 002 (Sensors, 2018)

Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing. - Tailai Wen; Jia Yan 002; Daoyu Huang; Kun Lu; Changjian Deng; Tanyue Zeng; Song Yu; Zhiyi He (Sensors, 2018)

A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses. - Yutong Tian; Jia Yan 002; Yiyun Zhang; Tianhang Yu; Peiyuan Wang; Debo Shi; Shukai Duan 001 (IEEE Access, 2020)

TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors. - Yuelin Zhang; Jia Yan 002; Zehuan Wang; Xiaoyan Peng; Yutong Tian; Shukai Duan 001 (CoRR, 2021)

Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data. - Yutong Tian; Jia Yan 002; Danhong Yi; Yuelin Zhang; Zehuan Wang; Tianhang Yu; Xiaoyan Peng; Shukai Duan 001 (IEEE Trans. Instrum. Meas., 2021)

Subspace alignment based on an extreme learning machine for electronic nose drift compensation. - Jia Yan 002; Feiyue Chen; Tao Liu 014; Yuelin Zhang; Xiaoyan Peng; Danhong Yi; Shukai Duan 001 (Knowl. Based Syst., 2022)

A Double-Level Interleaved Group Convolutional Network in the Frequency Domain for E-Nose Gas Recognition. - Zijian Wang 009; Mingye Han; Huisheng Zhang; Jia Yan 002 (SENSORS, 2023)

A convolutional neural network model for T-stage prediction of rectal cancer using CT images. - Mingye Han; Qingzhu Jia; Tingwei Xiong; Yixing Gao; Peng Liu; Jia Yan 002 (MeMeA, 2023)

M2FL-CCC: Multibranch Multilayer Feature Leaning and Comprehensive Classification Criterion for Gas Sensor Drift Compensation. - Shichao Zhai; Mingye Han; Zhe Li 041; Shuangjing Yang; Shukai Duan 001; Jia Yan 002 (IEEE Trans. Instrum. Meas., 2023)

Robust Domain Correction Latent Subspace Learning for Gas Sensor Drift Compensation. - Danhong Yi; Linxia Zhang; Zijian Wang; Lidan Wang 001; Shukai Duan 001; Jia Yan 002 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Identification of Varieties of Agricultural Products Based on a Machine Olfactory System and a Lightweight Multiscale Convolutional Neural Network. - Jia Yan 002; Zhe Li; Mingye Han; Yong Chen; Songqi Gao; Shuangjing Yang (IEEE SENSORS, 2024)

A multilevel interleaved group attention-based convolutional network for gas detection via an electronic nose system. - Shichao Zhai; Zhe Li 041; Huisheng Zhang; Lidan Wang 001; Shukai Duan 001; Jia Yan 002 (Eng. Appl. Artif. Intell., 2024)

A novel twin-center intuitionistic fuzzy large margin classifier with unified pinball loss for improving the performance of E-noses system. - Junlin Chen; Tao Luo; Jia Yan 002; Libo Zhang 006 (Expert Syst. Appl., 2024)

Performance Improvement of Multisensor Systems Using Autocompensation Strategy-Based LSTM. - Lu Li; Sihao Xiang; Mingye Han; Jia Yan 002 (IEEE Trans. Instrum. Meas., 2024)

LRCTNet: A lightweight rectal cancer T-staging network based on knowledge distillation via a pretrained swin transformer. - Jia Yan 002; Peng Liu; Tingwei Xiong; Mingye Han; Qingzhu Jia; Yixing Gao (Biomed. Signal Process. Control., 2025)

Improving E-Nose Performance: A Novel ELM-Based Dual-Level Joint Domain Adaptation Method for Sensor Drift Data. - Zijian Wang; Linxia Zhang; Zhe Li 041; Shukai Duan 001; Jia Yan 002 (IEEE Trans. Instrum. Meas., 2025)