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Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
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Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems

Lei Zhang ; Zhang, David

IEEE transactions on instrumentation and measurement, 2015-07, Vol.64 (7), p.1790-1801 [Periódico revisado por pares]

IEEE

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Odor Recognition in Multiple E-Nose Systems With Cross-Domain Discriminative Subspace Learning
Odor Recognition in Multiple E-Nose Systems With Cross-Domain Discriminative Subspace Learning
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Odor Recognition in Multiple E-Nose Systems With Cross-Domain Discriminative Subspace Learning

Zhang, Lei ; Liu, Yan ; Deng, Pingling

IEEE transactions on instrumentation and measurement, 2017-07, Vol.66 (7), p.1679-1692 [Periódico revisado por pares]

New York: IEEE

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3
Numerical analysis of aerodynamic characteristics of high-speed train with different train nose lengths
Numerical analysis of aerodynamic characteristics of high-speed train with different train nose lengths
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Numerical analysis of aerodynamic characteristics of high-speed train with different train nose lengths

Niu, Jiqiang ; Wang, Yueming ; Zhang, Lei ; Yuan, Yanping

International journal of heat and mass transfer, 2018-12, Vol.127, p.188-199 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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4
Anti-drift in E-nose: A subspace projection approach with drift reduction
Anti-drift in E-nose: A subspace projection approach with drift reduction
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Anti-drift in E-nose: A subspace projection approach with drift reduction

Zhang, Lei ; Liu, Yan ; He, Zhenwei ; Liu, Ji ; Deng, Pingling ; Zhou, Xichuan

Sensors and actuators. B, Chemical, 2017-12, Vol.253, p.407-417 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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5
Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection
Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection
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Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection

Liu, Huixiang ; Li, Qing ; Yan, Bin ; Zhang, Lei ; Gu, Yu

Sensors (Basel, Switzerland), 2018-12, Vol.19 (1), p.45 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Highly sensitive and selective detection of human-derived volatile organic compounds based on odorant binding proteins functionalized silicon nanowire array
Highly sensitive and selective detection of human-derived volatile organic compounds based on odorant binding proteins functionalized silicon nanowire array
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Highly sensitive and selective detection of human-derived volatile organic compounds based on odorant binding proteins functionalized silicon nanowire array

Gao, Anran ; Wang, Yi ; Zhang, Dongwei ; He, Yunqian ; Zhang, Lei ; Liu, Yanxiang ; Wang, Yuelin ; Song, Haifeng ; Li, Tie

Sensors and actuators. B, Chemical, 2020-04, Vol.309, p.127762, Article 127762 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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7
Abnormal Odor Detection in Electronic Nose via Self-Expression Inspired Extreme Learning Machine
Abnormal Odor Detection in Electronic Nose via Self-Expression Inspired Extreme Learning Machine
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Abnormal Odor Detection in Electronic Nose via Self-Expression Inspired Extreme Learning Machine

Zhang, Lei ; Deng, Pingling

IEEE transactions on systems, man, and cybernetics. Systems, 2019-10, Vol.49 (10), p.1922-1932 [Periódico revisado por pares]

IEEE

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8
Improvement of Aesthetic and Nasal Airway in Patients With Cleft Lip Nasal Deformities
Improvement of Aesthetic and Nasal Airway in Patients With Cleft Lip Nasal Deformities
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Improvement of Aesthetic and Nasal Airway in Patients With Cleft Lip Nasal Deformities

Zhang, Lei ; Bai Xiaofeng ; Li, Zengjian ; Liu, Qiang ; Yang, Mingliang ; Wang, Xukai ; Lu, Li

The Cleft palate-craniofacial journal, 2018-04, Vol.55 (4), p.554-561 [Periódico revisado por pares]

Lawrence: SAGE PUBLICATIONS, INC

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9
A novel WWH problem-based semi-supervised online method for sensor drift compensation in E-nose
A novel WWH problem-based semi-supervised online method for sensor drift compensation in E-nose
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A novel WWH problem-based semi-supervised online method for sensor drift compensation in E-nose

Liang, Zhifang ; Zhang, Lei ; Tian, Fengchun ; Wang, Congzhe ; Yang, Liu ; Guo, Tan ; Xiong, Lian

Sensors and actuators. B, Chemical, 2021-12, Vol.349, p.130727, Article 130727 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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10
Study on the adaptive relationship between train nose lengths and variable-section tunnel parameters: Aiming at mitigating micro-pressure waves
Study on the adaptive relationship between train nose lengths and variable-section tunnel parameters: Aiming at mitigating micro-pressure waves
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Study on the adaptive relationship between train nose lengths and variable-section tunnel parameters: Aiming at mitigating micro-pressure waves

Lu, Yi-Bin ; Wu, Xiao-Mei ; Wang, Tian-Tian ; Gong, Yan-Feng ; Zhou, Jun-Chao ; Chen, Da-Wei ; Li, Heng-Kui ; Zhang, Lei ; Shi, Fang-Cheng ; Wang, Jia-Bin

Physics of fluids (1994), 2024-05, Vol.36 (5) [Periódico revisado por pares]

Melville: American Institute of Physics

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