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Proceedings 2017, 1(4), 623; doi:10.3390/proceedings1040623

Estimation of the Number of Volatile Compounds in Simple Mixtures

CEA, LIST, 91191 Gif-sur-Yvette, France
Presented at the Eurosensors 2017 Conference, Paris, France, 3–6 September 2017.
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Published: 11 August 2017
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Abstract

In this paper, we address the problem of simple mixtures identification using a SAW sensor based e-nose. First, we propose a linearized form of the SAW sensor’s response to mixtures. This equation is then used to set up a linear least squares problem whose residuals are suitable to identify the number of compounds present in a mixture thanks to a supervised learning algorithm.
Keywords: SAW sensor; mixture identification; pattern recognition SAW sensor; mixture identification; pattern recognition
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hotel, O.; Poli, J.-P.; Mer-Calfati, C.; Scorsone, E.; Saada, S. Estimation of the Number of Volatile Compounds in Simple Mixtures. Proceedings 2017, 1, 623.

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