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Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine

Sensor drift is a common issue in E-Nose systems and various drift compensation methods have received fruitful results in recent years. Although the accuracy for recognizing diverse gases under drift conditions has been largely enhanced, few of these methods considered online processing scenarios. I...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Sensors (Basel)
Prif Awduron: Ma, Zhiyuan, Luo, Guangchun, Qin, Ke, Wang, Nan, Niu, Weina
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: MDPI 2018
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC5876707/
https://ncbi.nlm.nih.gov/pubmed/29494543
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18030742
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