Identification of Chemical Vapor Mixture Assisted by Artificially Extended Database for Environmental Monitoring

Identification of Chemical Vapor Mixture Assisted by Artificially Extended Database for Environmental Monitoring

A fully integrated sensor array assisted by pattern recognition algorithm has been a primary candidate for the assessment of complex vapor mixtures based on their chemical fingerprints. Diverse prototypes of electronic nose systems consisting of a multisensory device and a post processing engine hav...

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Bibliographic Details
Main Authors:	Hi Gyu Moon, Youngmo Jung, Beomju Shin, Donggeun Lee, Kayoung Kim, Deok Ha Woo, Seok Lee, Sooyeon Kim, Chong-Yun Kang, Taikjin Lee, Chulki Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Sensors
Subjects:	chemiresistive sensor array identification of gas mixture machine learning support vector machine (SVM) principal component analysis (PCA)
Online Access:	https://www.mdpi.com/1424-8220/22/3/1169

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