An Artificial Olfactory System for Toxic Compounds Classification using Machine Learning Techniques

The long-term exposure to nitrogen dioxide produces harmful effects for humans and any living being. Thus, in security applications, sensor arrays are required for detecting nitrogen dioxide by interfering gas classification. In this work, a compact and intelligent electronic nose (e-nose) based on...

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Veröffentlicht in:	Chemical Engineering Transactions Jg. 95
Hauptverfasser:	Cruz, Carlos, Aleixandre, Manuel, Matatagui, Daniel, Horrillo, M.C.
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	Italian Association of Chemical Engineering 01.10.2022 AIDIC Servizi S.r.l
Schlagworte:	Chemical engineering Computer engineering. Computer hardware TK7885-7895 TP155-156
ISSN:	2283-9216, 2283-9216
Online-Zugang:	Volltext
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