Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Constanze Tschoepe"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ivan Kraljevski, Frank Duckhorn, Martin Barth, Constanze Tschoepe, Frank Schubert, Matthias Wolff
Publikováno v:
2021 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49294ce5791766d4e6596ca2a6a5096b
https://doi.org/10.1109/sensors47087.2021.9639864
https://doi.org/10.1109/sensors47087.2021.9639864
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70fbfc5a572fdb2e46e45045eb3f00e
https://doi.org/10.21437/interspeech.2021-1101
https://doi.org/10.21437/interspeech.2021-1101
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32146a7e77c040d4786bd9145be880db
https://doi.org/10.1109/sensors47125.2020.9323023
https://doi.org/10.1109/sensors47125.2020.9323023
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cc21038c9d5da95523b975a3432edf0
https://doi.org/10.1109/i2mtc43012.2020.9129256
https://doi.org/10.1109/i2mtc43012.2020.9129256
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
Autor:
Leithoff, Ruben, Dilger, Nikolas, Duckhorn, Frank, Blume, Stefan, Lembcke, Dario, Tschöpe, Constanze, Herrmann, Christoph, Dröder, Klaus
Publikováno v:
Batteries; Mar2021, Vol. 7 Issue 1, p1-21, 21p
Autor:
Wunderlich, Christian, Tschöpe, Constanze, Duckhorn, Frank, Chimenti, Dale E., Bond, Leonard J.
Publikováno v:
AIP Conference Proceedings; 2018, Vol. 1949 Issue 1, pN.PAG-N.PAG, 7p, 2 Color Photographs, 3 Diagrams, 1 Graph
Autor:
Peter Klimczak, Christer Petersen
The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its fun
Autor:
Alexey Karpov, Vlado Delić
The two-volume set LNAI 15299 and 15300 constitutes the refereed proceedings of the 26th International Conference on Speech and Computer, SPECOM 2024, held in Belgrade, Serbia, during November 25–28, 2024. The 53 full papers included in these proce