A Virtual Electronic Nose for the Efficient Classification and Quantification of Volatile Organic Compounds

A Virtual Electronic Nose for the Efficient Classification and Quantification of Volatile Organic Compounds

Although many chemical gas sensors report high sensitivity towards volatile organic compounds (VOCs), finding selective gas sensing technologies that can classify different VOCs is an ongoing and highly important challenge. By exploiting the synergy between virtual electronic noses and machine learn...

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Bibliographic Details
Main Authors: Guillem Domènech-Gil, Donatella Puglisi
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
gas sensors
virtual arrays
volatile organic compounds
selectivity
quantification
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/19/7340

Internet

https://www.mdpi.com/1424-8220/22/19/7340

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