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Akademický článek
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Autor:
Ivan Kraljevski, Frank Duckhorn, Martin Barth, Constanze Tschoepe, Frank Schubert, Matthias Wolff
Publikováno v:
2021 IEEE Sensors.
Publikováno v:
Interspeech 2021.
Publikováno v:
2020 IEEE SENSORS.
We present a method for extracting health indicators from piezoelectric sensors applied in the case of microfluidic valves. Convolutional autoencoders were used to train a model on the normal operating conditions and tested on signals of different va
Autor:
Yong Chul Ju, Christian Richter, Matthias Wolff, Ivan Kraljevski, Frank Duckhorn, Constanze Tschoepe
Publikováno v:
I2MTC
In this study, we compare different machine learning approaches applied to acoustic resonance recognition of coins. Euro-cents and Euro-coins were classified by the sound emerging when throwing the coins onto a hard surface.The used dataset is a repr
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491857
AIAI (2)
AIAI (2)
In this paper, acoustic resonance testing on glass intravenous (IV) bottles is presented. Different machine learning methods were applied to distinguish acoustic observations of bottles with defects from the intact ones. Due to the very limited amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d856bbe6f3f43d2e3328d69d0ad71e6
https://doi.org/10.1007/978-3-030-49186-4_17
https://doi.org/10.1007/978-3-030-49186-4_17