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pro vyhledávání: '"Antunes AT"'
Autor:
Antunes, Henrique, Rodrigues, Abilio
The aim of this paper is to introduce the logics FFDE and FN4, which are universally free versions of Belnap-Dunn's four-valued logic, also known as the logic of first-degree entailment (FDE), and Nelson's paraconsistent logic QN4 (N-). Both FDE and
Externí odkaz:
http://arxiv.org/abs/2412.19767
Autor:
Nunes, Davide, Antunes, Luis
One goal of Artificial Intelligence is to learn meaningful representations for natural language expressions, but what this entails is not always clear. A variety of new linguistic behaviours present themselves embodied as computers, enhanced humans,
Externí odkaz:
http://arxiv.org/abs/2412.07975
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