Zobrazeno 1 - 10
of 8 174
pro vyhledávání: '"P. Portela"'
The advent of large-scale quantum computers implies that our existing public-key cryptography infrastructure has become insecure. That means that the privacy of many mobile applications involving dynamic peer groups, such as multicast messaging or pa
Externí odkaz:
http://arxiv.org/abs/2412.00387
Combining manipulation with the mobility of legged robots is essential for a wide range of robotic applications. However, integrating an arm with a mobile base significantly increases the system's complexity, making precise end-effector control chall
Externí odkaz:
http://arxiv.org/abs/2409.16048
Artificial Neural Networks (ANNs) have significantly advanced various fields by effectively recognizing patterns and solving complex problems. Despite these advancements, their interpretability remains a critical challenge, especially in applications
Externí odkaz:
http://arxiv.org/abs/2409.11078
Autor:
Courteille, Philippe Wilhelm, Rivero, Dalila, de França, Gustavo Henrique, Junior, Claudio Alves Pessoa, Cipris, Ana, Portela, Mayerlin Núñez, Teixeira, Raul Celistrino, Slama, Sebastian
Strong collective interaction of atoms with an optical cavity causes normal mode splitting of the cavity's resonances, whose width is given by the collective coupling strength. At low optical density of the atomic cloud the intensity distribution of
Externí odkaz:
http://arxiv.org/abs/2409.06042
Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. In the context of systems biology, especially with dynamic models, UQ is crucial because it a
Externí odkaz:
http://arxiv.org/abs/2409.02644
Mechanical metamaterials are renowned for their ability to achieve high stiffness and strength at low densities, often at the expense of low ductility and stretchability-a persistent trade-off in materials. In contrast, materials such as double-netwo
Externí odkaz:
http://arxiv.org/abs/2409.01533
In an era of digital governance, the use of automation for individual and cooperative work is increasing in public administrations (Tangi et al., 2022). Despite the promises of efficiency and cost reduction, automation could bring new challenges to t
Externí odkaz:
http://arxiv.org/abs/2407.19427
Artificial Neural Networks (ANNs) have become a powerful tool for modeling complex relationships in large-scale datasets. However, their black-box nature poses ethical challenges. In certain situations, ensuring ethical predictions might require foll
Externí odkaz:
http://arxiv.org/abs/2406.08525
Autor:
Perroni-Scharf, Maxine, Ferguson, Zachary, Butrille, Thomas, Portela, Carlos, Luković, Mina Konaković
Triply periodic minimal surfaces (TPMS) are a class of metamaterials with a variety of applications and well-known primitives. We present a new method for discovering novel microscale TPMS structures with exceptional energy-dissipation capabilities,
Externí odkaz:
http://arxiv.org/abs/2405.19507
Autor:
Portela, Jorge Iglesias Aldo
Let $\mathcal{S}$ be a topological semigroup and consider the dynamical system $(\mathcal{S},X,\Phi)$, where $X$ is locally compact metric space with a countable base. When $(\mathcal{S},X,\Phi)$ is transitive, dense of minimal set and non minimal th
Externí odkaz:
http://arxiv.org/abs/2405.12323