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Harmonic model-based feature representation for temperature-modulated electronic noses | Synapse
March 3, 2026
Harmonic model-based feature representation for temperature-modulated electronic noses
LG
Lihua Guo
Northwestern Polytechnical University
ZB
Zhongxin Bai
MW
Mou Wang
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Key Points
Enhanced feature representation significantly improves electronic nose performance with temperature modulation.
The harmonic model accurately captures temperature effects on sensor signals, boosting detection reliability.
Analysis leveraged a novel signal processing approach to enhance feature extraction capabilities in real-time applications.
Findings highlight the need for temperature consideration in electronic nose designs for optimal performance.
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Guo et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75e85c6e9836116a29347
https://doi.org/https://doi.org/10.1016/j.snb.2026.139566
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