Zobrazeno 1 - 10
of 35 594
pro vyhledávání: '"Giese"'
Autor:
Harth, Andreas, Käfer, Tobias, Rula, Anisa, Calbimonte, Jean-Paul, Kamburjan, Eduard, Giese, Martin
Publikováno v:
Transactions on Graph Data and Knowledge, Vol 2, Iss 1, Pp 1:1-1:32 (2024)
We work towards a vocabulary to represent processes and temporal logic specifications as graph-structured data. Different fields use incompatible terminologies for describing essentially the same process-related concepts. In addition, processes can b
Externí odkaz:
https://doaj.org/article/ed74226a3e7a46faabe51358dc316174
Autor:
Weinbrenner, Paul, Klar, Patricia, Giese, Christian, Flacke, Luis, Müller, Manuel, Althammer, Matthias, Geprägs, Stephan, Gross, Rudolf, Reinhard, Friedemann
Planar scanning probe microscopy is a recently emerging alternative approach to tip-based scanning probe imaging. It can scan an extended planar sensor, such as a polished bulk diamond doped with magnetic-field-sensitive nitrogen-vacancy (NV) centers
Externí odkaz:
http://arxiv.org/abs/2409.04252
Autor:
Anton, O., Bröckel, I., Derr, D., Fieguth, A., Franzke, M., Gärtner, M., Giese, E., Haase, J. S., Hamann, J., Heidt, A., Kanthak, S., Klempt, C., Kruse, J., Krutzik, M., Kubitza, S., Lotz, C., Müller, K., Pahl, J., Rasel, E. M., Schiemangk, M., Schleich, W. P., Schwertfeger, S., Wicht, A., Wörner, L.
The INTENTAS project aims to develop an atomic sensor utilizing entangled Bose-Einstein condensates (BECs) in a microgravity environment. This key achievement is necessary to advance the capability for measurements that benefit from both entanglement
Externí odkaz:
http://arxiv.org/abs/2409.01051
Increasing the sensitivity of light-pulse atom interferometers progressively relies on large-momentum transfer techniques. Precise control of such methods is imperative to exploit the full capabilities of these quantum sensors. One key element is the
Externí odkaz:
http://arxiv.org/abs/2408.14988
Autor:
Kling, Peter, Giese, Enno
If the quantum mechanical recoil of the electron due to its scattering from the undulator and laser fields dominates the dynamics, a regime of the free-electron laser emerges where quantum effects lead to a drastic change in the radiation properties.
Externí odkaz:
http://arxiv.org/abs/2408.14103
Autor:
Yakovlev, Ilya, Sztucki, Michael, Fleck, Frank, Karimi-Varzaneh, Hossein Ali, Lacayo-Pineda, Jorge, Vatterott, Christoph, Giese, Ulrich
When silica-filled rubber compounds are deformed, structural modifications in the material's bulk lead to irreversible damage, the most significant of which is cavitation appearing within the interfaces of interconnected polymer and filler networks.
Externí odkaz:
http://arxiv.org/abs/2407.08541
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 16, Pp 1203-1212 (2020)
Ulrike Dapunt,1 Birgit Prior,2 Jan Philippe Kretzer,3 Thomas Giese,4 Yina Zhao1 1Center for Orthopedics, Trauma Surgery and Spinal Cord Injury, Heidelberg University Hospital, Heidelberg 69118, Germany; 2Department of Anesthesiology, Heidelberg Unive
Externí odkaz:
https://doaj.org/article/39f8a796dacd46d88940c03541842476
Autor:
Giese Marco
Publikováno v:
Open Education Studies, Vol 2, Iss 1, Pp 180-201 (2020)
This study aims to forecast the final grade of the first higher education degree which can be of considerable interest for higher education institutions to implement early warning systems, students themselves, or potential employers. The analysis is
Externí odkaz:
https://doaj.org/article/844cbb6a48fd45488ef1f36e17b51891
Autor:
Lappe, Alexander, Bognár, Anna, Nejad, Ghazaleh Ghamkhari, Mukovskiy, Albert, Martini, Lucas, Giese, Martin A., Vogels, Rufin
High-level visual brain regions contain subareas in which neurons appear to respond more strongly to examples of a particular semantic category, like faces or bodies, rather than objects. However, recent work has shown that while this finding holds o
Externí odkaz:
http://arxiv.org/abs/2405.09827
Autor:
Hennicke, Leonhard, Adriano, Christian Medeiros, Giese, Holger, Koehler, Jan Mathias, Schott, Lukas
Generative foundation models like Stable Diffusion comprise a diverse spectrum of knowledge in computer vision with the potential for transfer learning, e.g., via generating data to train student models for downstream tasks. This could circumvent the
Externí odkaz:
http://arxiv.org/abs/2405.03243