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Sensor-Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation

Environmental changes and sensor aging can cause sensor drift in sensor array responses (i.e., a shift in the measured signal/feature distribution over time), which in turn degrades gas classification performance in real-world deployments of electronic-nose systems. Previous studies using the UCI Ga...

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Principais autores: Juntao Lin, Xianghao Zhan
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-01-01
Serier:Informatics
Fag:
drift compensation
electronic nose
knowledge distillation
domain adaptation
semi-supervised learning
unsupervised learning
Online adgang:https://www.mdpi.com/2227-9709/13/1/15
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