Zobrazeno 1 - 10
of 13 369
pro vyhledávání: '"Dantas P"'
Autor:
Bonilla-Escobar FJ, Sánchez-Cano D, Lasave AF, Soria J, Franco-Cárdenas V, Reviglio VE, Dantas PE, Palacio Pastrana C, Corbera JC, Chan RY, Diaz AL, Garcia Hernandez M, Maia M, Carpentier C, Wu L, Sanchez M, Murillo Sasamoto M, Murillo Azcárraga G, Roca JA, Serrano MA, Alezzandrini AA, Sanchez Montoya JG, Gabela G, Garcia-Aguirre G, Arevalo JF
Publikováno v:
Clinical Ophthalmology, Vol Volume 17, Pp 3249-3259 (2023)
Francisco Javier Bonilla-Escobar,1– 3,* Daniel Sánchez-Cano,1,* Andres F Lasave,4 Jaime Soria,5 Valentina Franco-Cárdenas,6 Victor E Reviglio,7 Paulo EC Dantas,8 Claudia Palacio Pastrana,9 Juan Carlos Corbera,10 Rita Yee Chan,11 Alberto L
Externí odkaz:
https://doaj.org/article/f1bfd6bae2dc4967919195c7ef456077
The flow over a NACA0012 airfoil at a moderate Reynolds number Re = 50,000 and angle of attack of alpha = 3 degrees is investigated using the lattice-Boltzmann method (LBM). The LBM solutions are computed in direct numerical simulation (DNS) mode, i.
Externí odkaz:
http://arxiv.org/abs/2411.04763
The linear response of a Schwarzschild black hole to an external quadrupolar perturbation is studied in analogy to a mechanical electrodynamical system, with the goal to describe the gravitational polarizability. Its causality properties imply disper
Externí odkaz:
http://arxiv.org/abs/2410.23384
Autor:
Florez-Revuelta, Francisco, Ake-Kob, Alin, Climent-Perez, Pau, Coelho, Paulo, Colonna, Liane, Dahabiyeh, Laila, Dantas, Carina, Dogru-Huzmeli, Esra, Ekenel, Hazim Kemal, Jevremovic, Aleksandar, Hosseini-Kivanani, Nina, Ilgaz, Aysegul, Jovanovic, Mladjan, Klimczuk, Andrzej, Kuźmicz, Maksymilian M., Lameski, Petre, Luna, Ferlanda, Machado, Natália, Mujirishvili, Tamara, Pajalic, Zada, Petrova, Galidiya, Puaschitz, Nathalie G. S., Santofimia, Maria Jose, Solanas, Agusti, van Staalduinen, Wilhelmina, Yazici, Ziya Ata
This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European research programs that promote collaboration across borders, uniting researc
Externí odkaz:
http://arxiv.org/abs/2410.16733
Autor:
Felix, Isaac de Macêdo, Tromer, Raphael Matozo, Machado, Leonardo Dantas, Galvão, Douglas Soares, Ribeiro Jr, Luiz Antônio, Pereira Jr, Marcelo Lopes
The thermal conductivity of two-dimensional (2D) materials is critical in determining their suitability for several applications, from electronics to thermal management. In this study, we have used Molecular Dynamics (MD) simulations to investigate t
Externí odkaz:
http://arxiv.org/abs/2409.10355
We obtain an infinite-dimensional cone of singular twisted Hilbert spaces $Z(\varphi)$ which are isomorphic to their duals but not to their conjugate duals. We do that by showing that the subset of all bi-Lipschitz maps from $[0, \infty)$ to $\mathbb
Externí odkaz:
http://arxiv.org/abs/2408.07827
Autor:
Ienco, Dino, Dantas, Cassio Fraga
Publikováno v:
British Machine Vision Conference, Nov 2024, Glasgow, United Kingdom
Cross-modal knowledge distillation (CMKD) refers to the scenario in which a learning framework must handle training and test data that exhibit a modality mismatch, more precisely, training and test data do not cover the same set of data modalities. T
Externí odkaz:
http://arxiv.org/abs/2408.07080
Computer vision methods that explicitly detect object parts and reason on them are a step towards inherently interpretable models. Existing approaches that perform part discovery driven by a fine-grained classification task make very restrictive assu
Externí odkaz:
http://arxiv.org/abs/2407.04538
The Kitaev honeycomb model provides a paradigmatic example of an exactly solvable quantum spin liquid (QSL), in which the spin degrees of freedom fractionalize into itinerant Majorana fermions coupled to a static background of $\mathbb{Z}_{2}$ gauge
Externí odkaz:
http://arxiv.org/abs/2406.19140
Publikováno v:
ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania
Semi-supervised domain adaptation methods leverage information from a source labelled domain with the goal of generalizing over a scarcely labelled target domain. While this setting already poses challenges due to potential distribution shifts betwee
Externí odkaz:
http://arxiv.org/abs/2406.14087