Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Stefanie Lindstaedt"'
Publikováno v:
IEEE Access, Vol 11, Pp 70333-70352 (2023)
Outlier detection (outlier and anomaly are used interchangeably in this review) in non-independent and identically distributed (non-IID) data refers to identifying unusual or unexpected observations in datasets that do not follow an independent and i
Externí odkaz:
https://doaj.org/article/f15dc215a71548f792728ed0b913a29f
Autor:
Mario Lovrić, Richard Meister, Thomas Steck, Leon Fadljević, Johann Gerdenitsch, Stefan Schuster, Lukas Schiefermüller, Stefanie Lindstaedt, Roman Kern
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 7, Iss 1, Pp 1-16 (2020)
Abstract In industrial electro galvanizing lines aged anodes deteriorate zinc coating distribution over the strip width, leading to an increase in electricity and zinc cost. We introduce a data-driven approach in predictive maintenance of anodes to r
Externí odkaz:
https://doaj.org/article/17c0758672834791bf4fd17a4d96095c
Autor:
Milot Gashi, Heimo Gursch, Hannes Hinterbichler, Stefan Pichler, Stefanie Lindstaedt, Stefan Thalmann
Publikováno v:
Sensors, Vol 22, Iss 8, p 2837 (2022)
Predictive Maintenance (PdM) is one of the most important applications of advanced data science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models, sufficient data, such as condition monitoring and maintenance data of
Externí odkaz:
https://doaj.org/article/3fac0c24ebe141b896df7d7f383ca560
Autor:
Konrad Lang, Sarah Stryeck, David Bodruzic, Manfred Stepponat, Slave Trajanoski, Ursula Winkler, Stefanie Lindstaedt
Publikováno v:
Mathematical and Computational Applications, Vol 25, Iss 2, p 38 (2020)
Life sciences (LS) are advanced in research data management, since LS have established disciplinary tools for data archiving as well as metadata standards for data reuse. However, there is a lack of tools supporting the active research process in ter
Externí odkaz:
https://doaj.org/article/13e2baa057c8448e94e409ff8023c2e8
Autor:
Johannes G. Hoffer, Andreas B. Ofner, Franz M. Rohrhofer, Mario Lovrić, Roman Kern, Stefanie Lindstaedt, Bernhard C. Geiger
Publikováno v:
Welding in the World. 66:1291-1304
Most engineering domains abound with models derived from first principles that have beenproven to be effective for decades. These models are not only a valuable source of knowledge, but they also form the basis of simulations. The recent trend of dig
Publikováno v:
Wirtschaftsinformatik & Management. 14:140-143
Publikováno v:
Advances in Analytics for Learning and Teaching ISBN: 9783031276453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bd8131eb2f184a477e3a2077e50363b
https://doi.org/10.1007/978-3-031-27646-0_5
https://doi.org/10.1007/978-3-031-27646-0_5
Autor:
Manfred Stepponat, Gustav Oberdorfer, Stefanie Lindstaedt, Philipp Hack, Sarah Stryeck, Julia Feichtinger, Florian Wieser, Konrad Lang, Gerhard G. Thallinger, Nirav Merchant, Christoph Hahn
Publikováno v:
Journal of Biotechnology
Collaborative research is common practice in modern life sciences. For most projects several researchers from multiple universities collaborate on a specific topic. Frequently, these research projects produce a wealth of data that requires central an
Data and algorithm sharing is an imperative part of data and AI-driven economies. The efficient sharing of data and algorithms relies on the active interplay between users, data providers, and algorithm providers. Although recommender systems are kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3998b25dc68cfa23c2ca0cb17ba4a18f
http://arxiv.org/abs/2210.11828
http://arxiv.org/abs/2210.11828
Publikováno v:
Mensch und Computer 2022.