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Acoustic and deep features extracted from acoustic emission signals for the characterization of biocomposites and glass fiber epoxy composites [Elektronski vir]
Kek, Tomaž, 1974- ; Misson, Martin ; Potočnik, Primož, 1969-
The dataset contains 12 Excel files with extracted features for the characterization of loaded materials and classification of the source material as biocomposite and glass fiber epoxy composite. ...Each file contains features for 22323 samples, extracted from acoustic emission measurements on loaded composites. The dataset was collected to examine various configurations of convolutional autoencoders for deep feature extraction, and different machine learning methods for the classification of the source material.
Type of material - electronic resource
; adult, serious
Publication and manufacture - [London] : Elsevier : Mendeley, 2022
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