Optimized Gas Sensor Array with AI for Distinguishing and Classifying Similar Odorants

This study presents a novel approach for odorant classification by integrating advanced machine learning techniques with an electronic nose (e-nose) system. The system's performance was evaluated with four distinct volatile organic compounds (VOCs)-eucalyptol, 2-nonanone, eugenol, and 2-phenyle...

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Vydané v:	IEEE sensors journal s. 1
Hlavní autori:	Cava, Carlos Eduardo, Sun, Helin, Huang, Shirong, Cuniberti, Gianaurelio
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Boosting Algorithms Electronic Nose System Gas Sensors LDA Machine Learning Metal Oxide Odorant Classification Semiconductor
ISSN:	1530-437X, 1558-1748
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