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Autor:
Ole Madsen, Felix Euteneuer, Ioan-Matei Sarivan, Simon Bøgh, Daniel Díez Alvarez, Johannes N. Greiner, Matthias Reichenbach
Publikováno v:
Procedia Manufacturing. 51:373-380
In this paper, we present a novel method for utilising wearable devices with Convolutional Neural Networks (CNN) trained on acoustic and accelerometer signals in smart manufacturing environments in order to provide real-time quality inspection during
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1159ce121de263d7263f4df9b4f3f40d
https://doi.org/10.1016/j.promfg.2020.10.053
https://doi.org/10.1016/j.promfg.2020.10.053
