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 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info
    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

    Geographic location of the organization Universidad del País Vasco/Euskal Herriko Unibertsitatea
  2. 2 Parque Científico y Tecnológico de Bizkaia
  3. 3 Universidade Do Porto
    info
    Universidade Do Porto

    Oporto, Portugal

    ROR https://ror.org/043pwc612

    Geographic location of the organization Universidade Do Porto
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Book:
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.)

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

ISBN: 978-84-123222-9-3

Year of publication: 2022

Pages: 278-278

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

Type: Conference paper

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