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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...
Autores principales: | Domènech-Gil, Guillem, Puglisi, Donatella |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571808/ https://www.ncbi.nlm.nih.gov/pubmed/36236439 http://dx.doi.org/10.3390/s22197340 |
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