Machine learning-based analysis of multiple simultaneous disturbances applied on a transmission-reflection analysis based distributed sensor using a nanoparticle-doped fiber

Letícia Avellar; Anselmo Frizera; Helder Rocha; Mariana Silveira; Camilo Díaz; Wilfried Blanc; Carlos Marques; Arnaldo Leal-Junior

doi:10.1364/PRJ.471301

Journals >Photonics Research >Volume 11 >Issue 3 >Page 364 > Article

Photonics Research
Vol. 11, Issue 3, 364 (2023)

Machine learning-based analysis of multiple simultaneous disturbances applied on a transmission-reflection analysis based distributed sensor using a nanoparticle-doped fiber

Letícia Avellar¹, Anselmo Frizera¹, Helder Rocha¹, Mariana Silveira¹, Camilo Díaz¹, Wilfried Blanc², Carlos Marques^3、*, and Arnaldo Leal-Junior¹

Author Affiliations

¹Graduate Program of Electrical Engineering, Federal University of Espirito Santo, Vitoria 29075-910, Brazil

²Université Côte d’Azur, Institut de Physique de Nice, CNRS, 06108 Nice Cedex 2, France

³I3N and Physics Department, Universidade de Aveiro, Campus Universitário de Santiago, Aveiro 3810-193, Portugal

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DOI: 10.1364/PRJ.471301 Cite this Article Set citation alerts

Letícia Avellar, Anselmo Frizera, Helder Rocha, Mariana Silveira, Camilo Díaz, Wilfried Blanc, Carlos Marques, Arnaldo Leal-Junior. Machine learning-based analysis of multiple simultaneous disturbances applied on a transmission-reflection analysis based distributed sensor using a nanoparticle-doped fiber[J]. Photonics Research, 2023, 11(3): 364 Copy Citation Text

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