Gas Identi cation by Using a Cluster-k-Nearest-Neighbor
Abstract. Among the most serious limitations facing the success of future consumer gas identification systems are the drift problem and the real-time detection due to the slow response of most of todays gas sensors. In this paper, a novel gas identification approach based on Cluster-k-Nearest Neig...
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| Format: | Article |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/5895/1/022X171.pdf http://eprints.utp.edu.my/5895/ |
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| Institution: | Universiti Teknologi Petronas |
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