Zobrazeno 1 - 10
of 459 345
pro vyhledávání: '"A Johan"'
Autor:
Naveau, Philippe, Segers, Johan
When passing from the univariate to the multivariate setting, modelling extremes becomes much more intricate. In this introductory exposition, classical multivariate extreme value theory is presented from the point of view of multivariate excesses ov
Externí odkaz:
http://arxiv.org/abs/2412.18477
Point defects dictate the properties of many functional materials. The standard approach to modelling the thermodynamics of defects relies on a static description, where the change in Gibbs free energy is approximated by the internal energy. This app
Externí odkaz:
http://arxiv.org/abs/2412.16741
The offshore wind sector relies on floating foundations for deeper waters but faces challenges from harsh conditions, nonlinear dynamics, and low-frequency resonant motions caused by second-order hydrodynamic loads. We analyze these dynamics and extr
Externí odkaz:
http://arxiv.org/abs/2412.16718
Autor:
Elhamiasl, Masoud, Jolivet, Frederic, Rezaei, Ahmadreza, Fieseler, Michael, Schäfers, Klaus, Nuyts, Johan, Schramm, Georg, Boada, Fernando
Whole-body PET imaging is often hindered by respiratory motion during acquisition, causing significant degradation in the quality of reconstructed activity images. An additional challenge in PET/CT imaging arises from the respiratory phase mismatch b
Externí odkaz:
http://arxiv.org/abs/2412.15018
Autor:
Samsing, Johan, Zwick, Lorenz, Saini, Pankaj, D'Orazio, Daniel J., Hendriks, Kai, Ezquiaga, Jose María, Lo, Rico K. L., Vujeva, Luka, Radev, Georgi D., Yu, Yan
Observations of strongly gravitationally lensed gravitational wave (GW) sources provide a unique opportunity for constraining their transverse motion, which otherwise is exceedingly hard for GW mergers in general. Strong lensing makes this possible w
Externí odkaz:
http://arxiv.org/abs/2412.14159
Autor:
Koenders, Kees, Schnitzpan, Leo, Kammerbauer, Fabian, Shu, Sinan, Jakob, Gerhard, Kläui, Mathis, Mentink, Johan, Ahmad, Nasir, van Gerven, Marcel
Brain-inspired learning in physical hardware has enormous potential to learn fast at minimal energy expenditure. One of the characteristics of biological learning systems is their ability to learn in the presence of various noise sources. Inspired by
Externí odkaz:
http://arxiv.org/abs/2412.12783
Autor:
Khusyainov, Dinar, Liefferink, Rein, Na, MengXing, Fabian, Kammerbauer, Frömter, Robert, Kläui, Mathias, Kozodaev, Dmitry, Vovk, Nikolay, Mikhaylovskiy, Rostislav, Afanasiev, Dmytro, Kimel, Alexey, Mentink, Johan H., Rasing, Theo
Controlling magnetic textures at ever smaller length and time scales is of key fundamental and technological interest. Achieving nanoscale control often relies on finding an external stimulus that is able to act on that small length scales, which is
Externí odkaz:
http://arxiv.org/abs/2412.11700
Autor:
Xia, Yuxuan, García-Fernández, Ángel F., Karlsson, Johan, Yuan, Ting, Chang, Kuo-Chu, Svensson, Lennart
This paper presents a probabilistic generalization of the generalized optimal subpattern assignment (GOSPA) metric, termed P-GOSPA metric. GOSPA is a popular metric for evaluating the distance between finite sets, typically in multi-object estimation
Externí odkaz:
http://arxiv.org/abs/2412.11482
Boundary-preserving weak approximations of some semilinear stochastic partial differential equations
Autor:
Ulander, Johan
We propose and analyse a boundary-preserving numerical scheme for the weak approximations of some stochastic partial differential equations (SPDEs) with bounded state-space. We impose regularity assumptions on the drift and diffusion coefficients onl
Externí odkaz:
http://arxiv.org/abs/2412.10800
Rivulets and droplets are naturally appearing shapes when small amounts of liquid are deposited on a partially wettable substrate. Here we study, by means of numerical simulations, the dewetting dynamics of a ring-rivulet on substrates with various c
Externí odkaz:
http://arxiv.org/abs/2412.10230