Bridge damage detection using Deep Autoencoder Networks

  1. Ana Fernandez-Navamuel 1
  2. Diego Zamora-Sánchez 2
  3. David Pardo 1
  4. Filipe Magalhães 3
  5. David García-Sanchez 2
  1. 1 University of the Basque Country (UPV-EHU)
  2. 2 Parque Científico y Tecnológico de Bizkaia
  3. 3 Universidade Do Porto
    info

    Universidade Do Porto

    Oporto, Portugal

    ROR https://ror.org/043pwc612

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Buch:
Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de Gran Canaria)
  1. David Greiner (ed. lit.)
  2. Irene Arias, (ed. lit.)
  3. Manuel Tur (ed. lit.)
  4. Gil Andrade-Campos (ed. lit.)
  5. Nuno Lopes (ed. lit.)
  6. J. Alexandre Pinho-da-Cruz (ed. lit.)

Verlag: International Center for Numerical Methods in Engineering (CIMNE)

ISBN: 978-84-123222-9-3

Datum der Publikation: 2022

Seiten: 278-278

Kongress: Congress on Numerical Methods in Engineering (1. 2022. Las Palmas de Gran Canaria)

Art: Konferenz-Beitrag

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Fuente de los datos: Dialnet