Zobrazeno 1 - 10
of 89 257
pro vyhledávání: '"Nada, A. A."'
Autor:
Palmerio, Erika, Kay, Christina, Al-Haddad, Nada, Lynch, Benjamin J., Trotta, Domenico, Yu, Wenyuan, Ledvina, Vincent E., Sánchez-Cano, Beatriz, Riley, Pete, Heyner, Daniel, Schmid, Daniel, Fischer, David, Richter, Ingo, Auster, Hans-Ulrich
Understanding and predicting the structure and evolution of coronal mass ejections (CMEs) in the heliosphere remains one of the most sought-after goals in heliophysics and space weather research. A powerful tool for improving current knowledge and ca
Externí odkaz:
http://arxiv.org/abs/2411.12706
Inspired by its central role in many biological processes, the transport of biopolymers across nanoscale pores is at the heart of a single-molecule sensing technology aimed at nucleic acid and protein sequencing, as well as biomarker detection. When
Externí odkaz:
http://arxiv.org/abs/2411.04261
The pursuit of realism in cinema has driven significant advancements in animatronics, where the integration of mechatronics, a multidisciplinary field that combines mechanical engineering, electronics, and computer science, plays a pivotal role in en
Externí odkaz:
http://arxiv.org/abs/2411.02102
Topological susceptibility of $\mathrm{SU}(3)$ pure-gauge theory from out-of-equilibrium simulations
In \textit{JHEP} \textbf{04} (2024) 126 [arXiv:2402.06561] we recently proposed an out-of-equilibrium setup to reduce the large auto-correlations of the topological charge in two-dimensional $\mathrm{CP}^{N-1}$ models. Our proposal consists of perfor
Externí odkaz:
http://arxiv.org/abs/2411.00620
Orthogonal Frequency Division Multiplexing (OFDM) is a popular modulation technique for transmitting digital data over wireless radio channels, including medical images due to its high transmission capacity, low interference, bandwidth efficiency, an
Externí odkaz:
http://arxiv.org/abs/2411.08916
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems (Early Access) 2024
High-quality spatiotemporal traffic data is crucial for intelligent transportation systems (ITS) and their data-driven applications. Inevitably, the issue of missing data caused by various disturbances threatens the reliability of data acquisition. R
Externí odkaz:
http://arxiv.org/abs/2410.15248
Autor:
Bulgarelli, Andrea, Cellini, Elia, Jansen, Karl, Kühn, Stefan, Nada, Alessandro, Nakajima, Shinichi, Nicoli, Kim A., Panero, Marco
We introduce a novel technique to numerically calculate R\'enyi entanglement entropies in lattice quantum field theory using generative models. We describe how flow-based approaches can be combined with the replica trick using a custom neural-network
Externí odkaz:
http://arxiv.org/abs/2410.14466
Autor:
Andrenšek, Luka, Koloski, Boshko, Pelicon, Andraž, Lavrač, Nada, Pollak, Senja, Purver, Matthew
We investigate zero-shot cross-lingual news sentiment detection, aiming to develop robust sentiment classifiers that can be deployed across multiple languages without target-language training data. We introduce novel evaluation datasets in several le
Externí odkaz:
http://arxiv.org/abs/2409.20054
Non-equilibrium Monte Carlo simulations based on Jarzynski's equality are a well-understood method to compute differences in free energy and also to sample from a target probability distribution without the need to thermalize the system under study.
Externí odkaz:
http://arxiv.org/abs/2409.18861
Flow-based architectures have recently proved to be an efficient tool for numerical simulations of Effective String Theories regularized on the lattice that otherwise cannot be efficiently sampled by standard Monte Carlo methods. In this work we use
Externí odkaz:
http://arxiv.org/abs/2409.15937