Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bernd Zimmering"'
Publikováno v:
atp magazin. 63:78-84
Machine Learning methods have achieved some impressive results over the past decade. However, this success was in large part a result of utilizing large amounts of data and growing computational resources efficiently. To extend this recent success to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0c9d7374a03f6758239aa342658ed86
https://doi.org/10.17560/atp.v63i9.2600
https://doi.org/10.17560/atp.v63i9.2600
Autor:
Bernd Zimmering, Oliver Niggemann, Constanze Hasterok, Erik Pfannstiel, Dario Ramming, Julius Pfrommer
Publikováno v:
Sensors, Vol 21, Iss 7, p 2397 (2021)
In the field of Cyber-Physical Systems (CPS), there is a large number of machine learning methods, and their intrinsic hyper-parameters are hugely varied. Since no agreed-on datasets for CPS exist, developers of new algorithms are forced to define th
Externí odkaz:
https://doaj.org/article/55b6178217dc4a6abab26996eefe2e64
Autor:
Oliver Niggemann, Bernd Zimmering, Henrik Steude, Jan Lukas Augustin, Alexander Windmann, Samim Multaheb
Publikováno v:
Digital Transformation ISBN: 9783662650035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f14ff0870d2c3d2b459139ec16c0c91
https://doi.org/10.1007/978-3-662-65004-2_17
https://doi.org/10.1007/978-3-662-65004-2_17
Publikováno v:
at - Automatisierungstechnik. 69:221-230
The application of machine learning, especially of trained neural networks, requires a high level of trust in their results. A key to this trust is the network’s ability to assess the uncertainty of the computed results. This is a prerequisite for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1363e5a5d76f8068c5df842c4a0f255b
https://doi.org/10.1515/auto-2020-0122
https://doi.org/10.1515/auto-2020-0122
Publikováno v:
2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55d53c02282827bb1487430ebf32f46d
https://doi.org/10.1109/icps51978.2022.9816908
https://doi.org/10.1109/icps51978.2022.9816908
Publikováno v:
Automatisierungstechnik; Mar2021, Vol. 69 Issue 3, pI-IV, 4p
Publikováno v:
Automatisierungstechnik; Mar2021, Vol. 69 Issue 3, p221-230, 10p
Autor:
Zimmering, Bernd1 (AUTHOR) bernd.zimmering@hsu-hh.de, Niggemann, Oliver1 (AUTHOR) erik.pfannstiel@hsu-hh.de, Hasterok, Constanze2 (AUTHOR) constanze.hasterok@iosb.fraunhofer.de, Pfannstiel, Erik1 (AUTHOR) rammingd@hsu-hh.de, Ramming, Dario1 (AUTHOR), Pfrommer, Julius2 (AUTHOR) julius.pfrommer@iosb.fraunhofer.de, Yang, Simon X. (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2021, Vol. 21 Issue 7, p2397. 1p.
Autor:
Birgit Vogel-Heuser, Manuel Wimmer
Digital Transformation in Industry 4.0/5.0 requires the effective and efficient application of digitalization technologies in the area of production systems. This book elaborates on concepts, techniques, and technologies from computer science in the
Dieses Nachschlagewerk erfasst die Gesamtheit der in der DDR veröffentlichten Belletristik (einschließlich korrespondierender Sekundärliteratur, Sachliteratur und Bildgeschichten) in Jahresquerschnitten und führt das 1986 erschienene Handbuch zur