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

Erakutsi afiliazioak +
Liburua:
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.)

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

ISBN: 978-84-123222-9-3

Argitalpen urtea: 2022

Orrialdeak: 278-278

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

Mota: Biltzar ekarpena

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Datuen iturria: Dialnet