Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning
Author:
Affiliation:
1. Örebro University,Mobile Robotics and Olfaction Lab, AASS Research Center,Örebro,Sweden,SE-701 82
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9789551/9789552/09789607.pdf?arnumber=9789607
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5. A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments
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1. Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks;2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN);2024-05-12
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