Zobrazeno 1 - 10
of 17 144
pro vyhledávání: '"Nitsche, A"'
The motion of several plates in an inviscid and incompressible fluid is studied numerically using a vortex sheet model. Two to four plates are initially placed in-line, separated by a specified distance, and actuated in the vertical direction with a
Externí odkaz:
http://arxiv.org/abs/2410.04626
AI is becoming increasingly common across different domains. However, as sophisticated AI-based systems are often black-boxed, rendering the decision-making logic opaque, users find it challenging to comply with their recommendations. Although resear
Externí odkaz:
http://arxiv.org/abs/2406.12660
Children are the builders of the future and crucial to how the technologies around us develop. They are not voters but are participants in how the public spaces in a city are used. Through a workshop designed around kids of age 9-12, we investigate i
Externí odkaz:
http://arxiv.org/abs/2404.01527
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Autor:
Zhao, Yidong, Tourais, Joao, Pierce, Iain, Nitsche, Christian, Treibel, Thomas A., Weingärtner, Sebastian, Schweidtmann, Artur M., Tao, Qian
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Deep learning (DL)-based methods have achieved state-of-the-art performance for many medical image segmentation tasks. Nevertheless, recent studies show that deep neural networks (DNNs) can be miscalibrated and overconfident, leading to "silent failu
Externí odkaz:
http://arxiv.org/abs/2403.02311
Autor:
Grossi, Davide, Hahn, Ulrike, Mäs, Michael, Nitsche, Andreas, Behrens, Jan, Boehmer, Niclas, Brill, Markus, Endriss, Ulle, Grandi, Umberto, Haret, Adrian, Heitzig, Jobst, Janssens, Nicolien, Jonker, Catholijn M., Keijzer, Marijn A., Kistner, Axel, Lackner, Martin, Lieben, Alexandra, Mikhaylovskaya, Anna, Murukannaiah, Pradeep K., Proietti, Carlo, Revel, Manon, Rouméas, Élise, Shapiro, Ehud, Sreedurga, Gogulapati, Swierczek, Björn, Talmon, Nimrod, Turrini, Paolo, Terzopoulou, Zoi, Van De Putte, Frederik
This white paper outlines a long-term scientific vision for the development of digital-democracy technology. We contend that if digital democracy is to meet the ambition of enabling a participatory renewal in our societies, then a comprehensive multi
Externí odkaz:
http://arxiv.org/abs/2401.16863
Autor:
Nitsche, Martin
Existing property (T) proofs for $Aut(F_n)$, $n\geq 4$, rely crucially on extensive computer calculations. We give a new proof that $Aut(F_n)$ has property (T) for all but finitely many $n$ that is inspired by the semidefinite programming approach bu
Externí odkaz:
http://arxiv.org/abs/2312.13917
Autor:
Härtel, Sebastian, Awiszus, Birgit, Graf, Marcel, Nitsche, Alexander, Böhme, Marcus, Wagner, Martin F.-X., Jirkova, Hana, Masek, Bohuslav
This paper examines how the initial austenite grain size in quench and partitioning (Q-P) processes influences the final mechanical properties of Q-P steels. Differences in austenite grain size distribution may result, for example, from uneven heatin
Autor:
Tobias Hoffmann, Janine Michel, Andreas Nitsche, Christin Mache, Jessica Schulze, Thorsten Wolff, Michael Laue
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-6 (2024)
Abstract Conventional thin section electron microscopy of viral pathogens, such as the pandemic SARS-CoV-2, can provide structural information on the virus particle phenotype and its evolution. We recorded about 900 transmission electron microscopy i
Externí odkaz:
https://doaj.org/article/32feccbc24394046be703df7543ef1fb
We explore the implementation of deep learning techniques for precise building damage assessment in the context of natural hazards, utilizing remote sensing data. The xBD dataset, comprising diverse disaster events from across the globe, serves as th
Externí odkaz:
http://arxiv.org/abs/2309.01066
Autor:
Nitsche, Anna-Maria
Urban supply networks are facing increasing demands and challenges and thus constitute a relevant field for research and practical development. Supply chain management holds enormous potential and relevance for society and everyday life as the flow o
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A83610
https://ul.qucosa.de/api/qucosa%3A83610/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A83610/attachment/ATT-0/