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Closing the sim-to-real gap in guided wave damage detection with
  adversarial training of variational auto-encoders

Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders

26 January 2022
Ishan D. Khurjekar
J. Harley
    AAML
ArXivPDFHTML

Papers citing "Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders"

1 / 1 papers shown
Title
Semi-supervised detection of structural damage using Variational
  Autoencoder and a One-Class Support Vector Machine
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine
A. Pollastro
Giusiana Testa
A. Bilotta
R. Prevete
DRL
38
10
0
11 Oct 2022
1