Scheduled presentations:

• Fault detection in industrial pumps based on recurrent autoencoder neural networks
  V. Meruane*, T. Hansen, I. Huerta, E. Roa, L. Quinteros, J. Marin
• Damage identification of RC beams using Feed-Forward Back Propagation Neural Network Approach (FFBPN)
  K. Oroz Farfan*, V. Ramos Cari, J. Casas Rius, R. Delgadillo Ayala
• Damage Classification Utilizing Autoencoders and Convolutional Neural Networks
  F. Barbosa*, L. Resende, R. Finotti, A. Cury, H. Garrido, M. Domizio, O. Curadelli
• Spatio-temporal damage identification through Bayesian calibration of time-varying finite element models
  G. Parra*, R. Astroza, M. Birrel, F. Mizón
• A data driven frequency-domain virtual sensing method based on cross-spectral density matrices
  M. Nuñez Cuji*, R. Prieto-Galarza, C. Tutivén Gálvez, L. Avendaño Valencia
• Structural Damage Identification based on the Curvature Matrix of the Accelerance
  J. Herrera*