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pro vyhledávání: '"A, Pfitzner"'
Robot dogs are receiving increasing attention in various fields of research. However, the number of studies investigating their potential usability on construction sites is scarce. The construction industry implies several human resource-demanding ta
Externí odkaz:
http://arxiv.org/abs/2409.15253
Autor:
Plokhikh, Igor V., Tsirlin, Alexander A., Khalyavin, Dmitry D., Fischer, Henry E., Shevelkov, Andrei V., Pfitzner, Arno
The 1111 compounds with an alternating sequence of fluorite and antifluorite layers serve as structural hosts for the vast family of Fe-based superconductors. Here, we use neutron powder diffraction and density-functional-theory (DFT) band-structure
Externí odkaz:
http://arxiv.org/abs/2212.10312
Autor:
Pfitzner, Bjarne, Arnrich, Bert
Federated learning (FL) is getting increased attention for processing sensitive, distributed datasets common to domains such as healthcare. Instead of directly training classification models on these datasets, recent works have considered training da
Externí odkaz:
http://arxiv.org/abs/2211.11591
Autor:
Louis Kopp, Karl-Anton Hiller, Fabian Cieplik, Arno Pfitzner, Florian Pielnhofer, Bastian Höfler, Christian Dolle, Áine M. Lennon, Sophia R. Bauer, Wolfgang Buchalla, Konstantin J. Scholz
Publikováno v:
Frontiers in Oral Health, Vol 5 (2024)
ObjectivesThe aim of this study was to analyze the precipitation of Cerium(III)nitrate hexahydrate [Ce(NO3)3] or Samarium(III)nitrate hexahydrate [Sm(NO3)3] solutions on human enamel with and without a salivary pellicle. Investigated parameters were
Externí odkaz:
https://doaj.org/article/b76534f3eb7148fbbfeb4d7711d05f74
Privacy regulations and the physical distribution of heterogeneous data are often primary concerns for the development of deep learning models in a medical context. This paper evaluates the feasibility of differentially private federated learning for
Externí odkaz:
http://arxiv.org/abs/2205.03168
Autor:
Motewasselin, Nima, Hiller, Karl-Anton, Cieplik, Fabian, Kopp, Louis, Pfitzner, Arno, Pielnhofer, Florian, Auer, David L., Buchalla, Wolfgang, Scholz, Konstantin J.
Publikováno v:
In Archives of Oral Biology November 2024 167
Autor:
Pfitzner, Michael, Breda, Paola
Publikováno v:
Physics of Fluids 33, 035117 (2021)
Laminar premixed flame profiles of methane/air free flames and strained flames at different fuel/air ratios and strain rates are analysed using detailed chemistry with Lewis numbers equal to one. It is shown that the detailed chemistry flame profiles
Externí odkaz:
http://arxiv.org/abs/2112.10566
A new premixed turbulent combustion model is proposed. It is based on one-dimensional (1D) filtering of density times progress variable and of the reaction source term of laminar premixed flame profiles using a filter kernel which reflects the variat
Externí odkaz:
http://arxiv.org/abs/2112.09911
Autor:
Beilharz, Jossekin, Pfitzner, Bjarne, Schmid, Robert, Geppert, Paul, Arnrich, Bert, Polze, Andreas
Federated learning allows a group of distributed clients to train a common machine learning model on private data. The exchange of model updates is managed either by a central entity or in a decentralized way, e.g. by a blockchain. However, the stron
Externí odkaz:
http://arxiv.org/abs/2111.01257
Publikováno v:
In Automation in Construction August 2024 164