Recognition Algorithms in E-Nose: A Review
Author:
Affiliation:
1. School of Environment Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, China
2. Hefei Institutes of Physical Science, Advanced Laser Technology Laboratory of Anhui Province, Hefei, China
Funder
CAS Pioneer Hundred Talents Program of Chinese Academy of Sciences
Chinese Academy of Sciences-National Science and Technology Development Agency (CAS-NSTDA) Joint Research Projects
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10251409/10215322.pdf?arnumber=10215322
Reference92 articles.
1. Design of a Portable E-Nose Instrument for Gas Classifications
2. Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
3. Portable e-nose based on polymer/CNT sensor array for protein-based detection
4. Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization
5. Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis
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