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                                       Details for article 24 of 92 found articles
 
 
  A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder
 
 
Title: A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder
Author: Ghazimoghadam, Shayan
Hosseinzadeh, S.A.A.
Appeared in: Measurement
Paging: Volume 229 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 24 of 92 found articles
 
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