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pro vyhledávání: '"P, Blanke"'
The application of nonlinear control schemes to electro-hydraulic actuators often requires several alterations in the design of the controllers during their implementation. This is to overcome the challenges that frequently arise from the inherent co
Externí odkaz:
http://arxiv.org/abs/2410.13389
Data assimilation is a central problem in many geophysical applications, such as weather forecasting. It aims to estimate the state of a potentially large system, such as the atmosphere, from sparse observations, supplemented by prior physical knowle
Externí odkaz:
http://arxiv.org/abs/2406.15076
Akademický článek
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Autor:
Blanke, Monika
These proceedings provide a brief overview of the status of $B$ meson physics, putting particular emphasis on precision tests of the Standard Model with meson mixing data, and on the anomalies in charged- and neutral-current semileptonic $B$ decays.
Externí odkaz:
http://arxiv.org/abs/2403.12802
The encounter situation between marine vessels determines how they should navigate to obey COLREGs, but time-varying and stochastic uncertainty in estimation of angles of encounter, and of closest point of approach, easily give rise to different asse
Externí odkaz:
http://arxiv.org/abs/2402.05662
Publikováno v:
JHEP 06 (2024) 179
We study a simplified Dark Matter model in the Dark Minimal Flavour Violation framework. Our model complements the Standard Model with a flavoured Dark Matter Majorana triplet and a coloured scalar mediator that share a Yukawa coupling with the right
Externí odkaz:
http://arxiv.org/abs/2312.09274
Wind energy is the leading non-hydro renewable technology. Increasing reliability is a key factor in reducing the downtime of high-power wind turbines installed in remote off-shore places, where maintenance is costly and less reactive. Defects in the
Externí odkaz:
http://arxiv.org/abs/2312.09018
Autor:
Blanke, Matthieu, Lelarge, Marc
Publikováno v:
The Twelfth International Conference on Learning Representations, ICLR 2024
Machine learning methods can be a valuable aid in the scientific process, but they need to face challenging settings where data come from inhomogeneous experimental conditions. Recent meta-learning methods have made significant progress in multi-task
Externí odkaz:
http://arxiv.org/abs/2312.00477
Publikováno v:
JHEP 11 (2023) 079
We study a simplified model of lepton-flavoured complex scalar dark matter coupling to right-handed leptons and the Higgs boson. The model is set up in the Dark Minimal Flavour Violation framework. In contrast to previous studies of similar models we
Externí odkaz:
http://arxiv.org/abs/2309.10700
Autor:
Sara Stampacchia, Saina Asadi, Szymon Tomczyk, Federica Ribaldi, Max Scheffler, Karl-Olof Lövblad, Michela Pievani, Aïda B. Fall, Maria Giulia Preti, Paul G. Unschuld, Dimitri Van De Ville, Olaf Blanke, Giovanni B. Frisoni, Valentina Garibotto, Enrico Amico
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Functional connectivity patterns in the human brain, like the friction ridges of a fingerprint, can uniquely identify individuals. Does this “brain fingerprint” remain distinct even during Alzheimer’s disease (AD)? Using fMRI data from
Externí odkaz:
https://doaj.org/article/6d292a1680c44a45a1fe40cf5bcf9976
