A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training

By Jia Pengfei   Huang Tailai   Duan Shukai   Ge Lingpu   Yan Jia   Wang Lidan  

Sensors, Vol. 16, Iss. 3, 2016-03 ,pp. : 370-370

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Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing

By Wen Tailai   Yan Jia   Huang Daoyu   Lu Kun   Deng Changjian   Zeng Tanyue   Yu Song   He Zhiyi  

Sensors, Vol. 18, Iss. 2, 2018-01 ,pp. : 388-388

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A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs

By Huang Tailai   Jia Pengfei   He Peilin   Duan Shukai   Yan Jia   Wang Lidan  

Sensors, Vol. 16, Iss. 9, 2016-09 ,pp. : 1462-1462

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Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model

By Peng Chao   Yan Jia   Duan Shukai   Wang Lidan   Jia Pengfei   Zhang Songlin  

Sensors, Vol. 16, Iss. 4, 2016-04 ,pp. : 520-520

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Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat

By El Barbri Noureddine   Llobet Eduard   El Bari Nezha   Correig Xavier   Bouchikhi Benachir  

Sensors, Vol. 8, Iss. 1, 2008-01 ,pp. : 142-156

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