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Photonics Research, Volume. 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 Marques3、*, 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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    Article index updated: Feb. 15, 2025

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    The article is cited by 22 article(s) from Web of Science.
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    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," Photonics Res. 11, 364 (2023)

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 22, 2022

    Accepted: Dec. 6, 2022

    Published Online: Feb. 8, 2023

    The Author Email: Carlos Marques (carlos.marques@ua.pt)

    DOI:10.1364/PRJ.471301

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology