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Electronic Nose: Algorithmic Challenges

This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it add...

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Main Authors:	Zhang, Lei. (Author, http://id.loc.gov/vocabulary/relators/aut), Tian, Fengchun. (http://id.loc.gov/vocabulary/relators/aut), Zhang, David. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2018.
Edition:	1st ed. 2018.
Subjects:	Pattern recognition. Biometrics (Biology). Bioinformatics. Health informatics. Pattern Recognition. Biometrics. Computational Biology/Bioinformatics. Health Informatics.
Online Access:	https://doi.org/10.1007/978-981-13-2167-2

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