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An Unsupervised Learning Method for Noise Detection in Photoacoustic Gas Measurements

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10796229

Authors: Ada Fort, Matteo Intravaia, Marco Mugnaini, Marco Bindi, Enza Panzardi, Valerio Vignoli

Institutions: University of Siena, University of Florence

Language: English

Topic: Spectroscopy and Laser Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4405756106

FWCI:

Cites: 15

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Related to: 10