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1 Ergebnisse
1
Metal Oxide Semiconductor Gas Sensors-based E-nose and Two-..:
, In:
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
,
En Lee, Hui
;
Mercer, Zehnder J. A.
;
Ng, Sing Muk
.. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/ISOEN54820.2022.9789618
RT T1 <cTitle>2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)</cTitle>: T1 <Title>Metal Oxide Semiconductor Gas Sensors-based E-nose and Two-stage Classification: Authentication of Malaysia and Vietnam Black Pepper Samples</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9789618&Exemplar=1&LAN=DE A1 En Lee, Hui A1 Mercer, Zehnder J. A. A1 Ng, Sing Muk A1 Shafiei, Mahnaz A1 Chua, Hong Siang YR 2022 K1 Semiconductor device modeling K1 Support vector machines K1 Training K1 Analytical models K1 Metals K1 Predictive models K1 Electronic noses K1 black pepper K1 classification K1 electronic nose (e-nose) K1 gas sensors K1 machine learning K1 metal oxide semiconductor (MOS) SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ISOEN54820.2022.9789618 DO https://doi.org/10.1109/ISOEN54820.2022.9789618 SF ELIB - SuUB Bremen
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