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pro vyhledávání: '"Antunes, A. A."'
We report the crystal structures, magnetic and thermodynamic properties of two magnetically frustrated $A$'$A$"$M_2$F$_7$-type antiferromagnets, NaCdNi$_2$F$_7$ and NaCdMn$_2$F$_7$. While NaCdNi$_2$F$_7$ forms a stable pyrochlore structure (SG: $Fd \
Externí odkaz:
http://arxiv.org/abs/2411.11579
Autor:
Antunes-García, Miguel, Bergasa, Luis M., Montiel-Marín, Santiago, Barea, Rafael, Sánchez-García, Fabio, Llamazares, Ángel
Accurate object detection and prediction are critical to ensure the safety and efficiency of self-driving architectures. Predicting object trajectories and occupancy enables autonomous vehicles to anticipate movements and make decisions with future i
Externí odkaz:
http://arxiv.org/abs/2411.06851
We investigate perturbations in power-law monomial potentials within inflationary models driven by a single scalar field. By introducing a second term to the original potential, we study how this perturbation influences the slow-roll parameters and a
Externí odkaz:
http://arxiv.org/abs/2410.06222
Communication primitives play a central role in modern computing. They offer a panel of reliability and ordering guarantees for messages, enabling the implementation of complex distributed interactions. In particular, atomic broadcast is a pivotal ab
Externí odkaz:
http://arxiv.org/abs/2410.01901
Autor:
Soares, Filipe, Antunes, José, Vergez, Christophe, Debut, Vincent, Cochelin, Bruno, Silva, Fabrice
A cantilever beam under axial flow, confined or not, is known to develop self-sustained oscillations at sufficiently large flow velocities. In recent decades, the analysis of this archetypal system has been mostly pursued under linearized conditions,
Externí odkaz:
http://arxiv.org/abs/2410.08213
Reinforcement learning (RL) has seen significant research and application results but often requires large amounts of training data. This paper proposes two data-efficient off-policy RL methods that use parametrized Q-learning. In these methods, the
Externí odkaz:
http://arxiv.org/abs/2409.11986
The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the underlying causes and implement effective containment strategies. In response, many countries have promoted the availab
Externí odkaz:
http://arxiv.org/abs/2408.17378
Autor:
Antunes, Fabio, Lima, Maria Julia Dias, Araújo, Marco Antônio Pereira, Taibi, Davide, Kalinowski, Marcos
[Context] The adoption of micro-frontends architectures has gained traction as a promising approach to enhance modularity, scalability, and maintainability of web applications. [Goal] The primary aim of this research is to investigate the benefits an
Externí odkaz:
http://arxiv.org/abs/2407.15829
Autor:
Antunes, Diogo S., Oliveira, Afonso N., Breda, André, Franco, Matheus Guilherme, Moniz, Henrique, Rodrigues, Rodrigo
Publikováno v:
In21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24) 2024 (pp. 313-328)
Traditional Byzantine Fault Tolerance (BFT) state machine replication protocols assume a partial synchrony model, leading to a design where a leader replica drives the protocol and is replaced after a timeout. Recently, we witnessed a surge of asynch
Externí odkaz:
http://arxiv.org/abs/2407.14538
Autor:
Novello, Mario, Antunes, Vicente
We present solutions corresponding to rotational configurations in the recently proposed Geometric Scalar Gravity (GSG) theory. The solutions obtained here have the important property that the associated closed time-like curves are always restricted
Externí odkaz:
http://arxiv.org/abs/2407.09663