Zobrazeno 1 - 10
of 79 464
pro vyhledávání: '"Días, A."'
Network Intrusion Detection (NID) systems can benefit from Machine Learning (ML) models to detect complex cyber-attacks. However, to train them with a great amount of high-quality data, it is necessary to perform reliable simulations of multiple inte
Externí odkaz:
http://arxiv.org/abs/2412.01421
Autor:
Junior, Ednaldo L. B., Junior, José Tarciso S. S., Lobo, Francisco S. N., Rodrigues, Manuel E., Rubiera-Garcia, Diego, da Silva, Luís F. Dias, Vieira, Henrique A.
In this paper, we study time-like geodesics around a spherically symmetric black hole in Kalb-Ramond (KR) gravity, characterized by the parameter $l$, which induces spontaneous Lorentz symmetry breaking. The geodesic equations and effective potential
Externí odkaz:
http://arxiv.org/abs/2412.00769
This study presents a Bayesian hierarchical model for analyzing spatially correlated functional data and handling irregularly spaced observations. The model uses Bernstein polynomial (BP) bases combined with autoregressive random effects, allowing fo
Externí odkaz:
http://arxiv.org/abs/2411.19425
Autor:
Dias, Mariana L. S., da Cunha, Antônio F. B., Bengaly, Carlos A. P., Gonçalves, Rodrigo S., Morais, Jonathan
The assumption of a flat universe that follows the cosmological principle, i.e., that the universe is statistically homogeneous and isotropic at large scales, comprises one of the core foundations of the standard cosmological model -- namely, the $\L
Externí odkaz:
http://arxiv.org/abs/2411.19252
Autor:
Lopes, C. E. Ferreira, Gutiérrez-Soto, L. A., Alberice, V. S. Ferreira, Monsalves, N., Hazarika, D., Catelan, M., Placco, V. M., Limberg, G., Almeida-Fernandes, F., Perottoni, H. D., Castelli, A. V. Smith, Akras, S., Alonso-García, J., Cordeiro, V., Arancibia, M. Jaque, Daflon, S., Dias, B., Gonçalves, D. R., Machado-Pereira, E., Lopes, A. R., Bom, C. R., de Souza, R. C. Thom, de Isídio, N. G., Alvarez-Candal, A., De Rossi, M. E., Bonatto, C. J., Palma, B. Cubillos, Fernandes, M. Borges, Humire, P. K., Schwarz, G. B. Oliveira, Schoenell, W., Kanaan, A., de Oliveira, C. Mendes
Context. Spectroscopic surveys like APOGEE, GALAH, and LAMOST have significantly advanced our understanding of the Milky Way by providing extensive stellar parameters and chemical abundances. Complementing these, photometric surveys with narrow/mediu
Externí odkaz:
http://arxiv.org/abs/2411.18748
Using a mix of analytical and numerical methods, we construct new rotating, charged "hairy" black hole solutions of $D=5$, ${\cal N}=8$ gauged supergravity that are dual, via the AdS/CFT correspondence, to thermal states in $D=4$, ${\cal N}=4$ SYM at
Externí odkaz:
http://arxiv.org/abs/2411.18712
Autor:
Sudevan, Vidya, Zayer, Fakhreddine, Hassan, Taimur, Javed, Sajid, Karki, Hamad, De Masi, Giulia, Dias, Jorge
This paper delves into the potential of DU-VIO, a dehazing-aided hybrid multi-rate multi-modal Visual-Inertial Odometry (VIO) estimation framework, designed to thrive in the challenging realm of extreme underwater environments. The cutting-edge DU-VI
Externí odkaz:
http://arxiv.org/abs/2411.13988
This paper introduces the concept of employing neuromorphic methodologies for task-oriented underwater robotics applications. In contrast to the increasing computational demands of conventional deep learning algorithms, neuromorphic technology, lever
Externí odkaz:
http://arxiv.org/abs/2411.13962
Autor:
Sifón, Cristóbal, Finoguenov, Alexis, Haines, Christopher P., Jaffé, Yara, Amrutha, B. M., Demarco, Ricardo, Lima, E. V. R., Lima-Dias, Ciria, Méndez-Hernández, Hugo, Merluzzi, Paola, Monachesi, Antonela, Teixeira, Gabriel S. M., Tejos, Nicolas, Araya-Araya, Pablo, Argudo-Fernández, Maria, Baier-Soto, Raúl, Bilton, Lawrence E., Bom, C. R., Calderón, Juan Pablo, Cassarà, Letizia P., Comparat, Johan, Courtois, H. M., D'Ago, Giuseppe, Dupuy, Alexandra, Fritz, Alexander, Haack, Rodrigo F., Herpich, Fabio R., Ibar, E., Kuchner, Ulrike, Lopes, Amanda R., Lopez, Sebastian, Lösch, Elismar, McGee, Sean, de Oliveira, C. Mendes, Morelli, Lorenzo, Moretti, Alessia, Pallero, Diego, Piraino-Cerda, Franco, Pompei, Emanuela, Rescigno, U., Smith, Rory, Castelli, Analía V. Smith, Sodré Jr, Laerte, Tempel, Elmo
CHANCES, the CHileAN Cluster galaxy Evolution Survey, will study the evolution of galaxies in and around ${\sim}$150 massive galaxy clusters, from the local universe out to z=0.45. CHANCES will use the new 4MOST Spectroscopic Survey Facility on the V
Externí odkaz:
http://arxiv.org/abs/2411.13655
Autor:
Algarte, Roberto Dias
This article introduces a novel approach to the mathematical development of Ordinary Least Squares and Neural Network regression models, diverging from traditional methods in current Machine Learning literature. By leveraging Tensor Analysis and fund
Externí odkaz:
http://arxiv.org/abs/2411.12873