Zobrazeno 1 - 10
of 823 704
pro vyhledávání: '"Ricardo, A."'
Autor:
Guimarães, Marcelo Ferreira, Sell, Carlos Antônio, Turcato, Renato Parenti, Assuiti, Carlos Henrique, Custódio, Ricardo, Santos, Ricardo Antônio Pralon
A new system, called SELA -- Auditing Electronic System, has been developed to be applied to the Brazilian Electronic Voting Machine. The SELA was designed to use open hardware and software, making it widely known by society. The security of the audi
Externí odkaz:
http://arxiv.org/abs/2408.11195
Autor:
From, Jorge, Hernández-Bernal, Jorge, Moinelo, Alejandro Cardesin, Hueso, Ricardo, Ravanis, Eleni, Sierra, Abel Burgos, Wood, Simon, Sitja, Marc Costa, Escalante, Alfredo, Grotheer, Emmanuel, de la Parra, Julia Marin Yaseli, Merrit, Donald, Almeida, Miguel, Breitfellner, Michel, Sierra, Mar, Martin, Patrick, Titov, Dmitri, Wilson, Colin, Larsen, Ethan, Gaztelurrutia, Teresa del Rio, Lavega, Agustin Sanchez
The Visual Monitoring Camera (VMC) is a small imaging instrument onboard Mars Express with a field of view of ~40x30 degrees. The camera was initially intended to provide visual confirmation of the separation of the Beagle 2 lander and has similar te
Externí odkaz:
http://arxiv.org/abs/2410.02999
Elastoinertial turbulence (EIT) is a chaotic state that emerges in the flows of dilute polymer solutions. Direct numerical simulation (DNS) of EIT is highly computationally expensive due to the need to resolve the multi-scale nature of the system. Wh
Externí odkaz:
http://arxiv.org/abs/2410.02948
Autor:
Harkett, Jake, Fletcher, Leigh N., King, Oliver R. T., Roman, Michael T., Melin, Henrik, Hammel, Heidi B., Hueso, Ricardo, Sánchez-Lavega, Agustín, Wong, Michael H., Milam, Stefanie N., Orton, Glenn S., de Kleer, Katherine, Irwin, Patrick G. J., de Pater, Imke, Fouchet, Thierry, Rodríguez-Ovalle, Pablo, Fry, Patrick M., Showalter, Mark R.
Publikováno v:
JGR:Planets, 129, e2024JE008415
Jupiter's Great Red Spot (GRS) was mapped by the James Webb Space Telescope (JWST)/Mid-Infrared Instrument (4.9-27.9 micron) in July and August 2022. These observations took place alongside a suite of visual and infrared observations from; Hubble, JW
Externí odkaz:
http://arxiv.org/abs/2410.02468
Generalizing language-conditioned robotic policies to new tasks remains a significant challenge, hampered by the lack of suitable simulation benchmarks. In this paper, we address this gap by introducing GemBench, a novel benchmark to assess generaliz
Externí odkaz:
http://arxiv.org/abs/2410.01345
Complex chaotic dynamics, seen in natural and industrial systems like turbulent flows and weather patterns, often span vast spatial domains with interactions across scales. Accurately capturing these features requires a high-dimensional state space t
Externí odkaz:
http://arxiv.org/abs/2410.01238
Ultralight bosonic fields can form condensates, or clouds, around spinning black holes. When this system is under the influence of a secondary massive body, its tidal response can be quantified in the tidal Love numbers (TLNs). Although TLNs vanish f
Externí odkaz:
http://arxiv.org/abs/2410.00968
Autor:
Piepenborn, Ricardo Palomino
This note begins the model-theoretic study of local real closed SV-rings of finite rank; to this end, a structure theorem for reduced local SV-rings of finite rank is given and branching ideals in local real closed rings of finite rank are analysed.
Externí odkaz:
http://arxiv.org/abs/2409.20295
When solving inverse problems, it is increasingly popular to use pre-trained diffusion models as plug-and-play priors. This framework can accommodate different forward models without re-training while preserving the generative capability of diffusion
Externí odkaz:
http://arxiv.org/abs/2409.20175
Autor:
Gisserot-Boukhlef, Hippolyte, Rei, Ricardo, Malherbe, Emmanuel, Hudelot, Céline, Colombo, Pierre, Guerreiro, Nuno M.
Neural metrics for machine translation (MT) evaluation have become increasingly prominent due to their superior correlation with human judgments compared to traditional lexical metrics. Researchers have therefore utilized neural metrics through quali
Externí odkaz:
http://arxiv.org/abs/2409.20059