An Artificial Neural Network to Eliminate the Detrimental Spectral Shift on Mid-Infrared Gas Spectroscopy.

Chin, Sanghoon; Van Zaen, Jérôme; Denis, Séverine; Muntané, Enric; Schröder, Stephan; Martin, Hans; Balet, Laurent; Lecomte, Steve

Chin, Sanghoon; Van Zaen, Jérôme; Denis, Séverine; Muntané, Enric; Schröder, Stephan; Martin, Hans; Balet, Laurent; Lecomte, Steve.

Afiliação

Chin S; Centre Suisse d'Electronique et de Microtechnique SA (CSEM), CH-2002 Neuchâtel, Switzerland.
Van Zaen J; Centre Suisse d'Electronique et de Microtechnique SA (CSEM), CH-2002 Neuchâtel, Switzerland.
Denis S; Centre Suisse d'Electronique et de Microtechnique SA (CSEM), CH-2002 Neuchâtel, Switzerland.
Muntané E; Centre Suisse d'Electronique et de Microtechnique SA (CSEM), CH-2002 Neuchâtel, Switzerland.
Schröder S; SenseAir AB, 82060 Delsbo, Sweden.
Martin H; SenseAir AB, 82060 Delsbo, Sweden.
Balet L; Centre Suisse d'Electronique et de Microtechnique SA (CSEM), CH-2002 Neuchâtel, Switzerland.
Lecomte S; Centre Suisse d'Electronique et de Microtechnique SA (CSEM), CH-2002 Neuchâtel, Switzerland.

Sensors (Basel) ; 23(19)2023 Oct 03.

Article em En | MEDLINE | ID: mdl-37837060

Palavras-chave

absorption spectroscopy; artificial neural network; mid-infrared; quantitative gas analysis; spectral analysis; supercontinuum source; trace gas sensing

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article