Zobrazeno 1 - 10
of 178 562
pro vyhledávání: '"João, P."'
Autor:
Paiola, Pedro Henrique, Garcia, Gabriel Lino, Manesco, João Renato Ribeiro, Roder, Mateus, Rodrigues, Douglas, Papa, João Paulo
This study evaluates the performance of large language models (LLMs) as medical agents in Portuguese, aiming to develop a reliable and relevant virtual assistant for healthcare professionals. The HealthCareMagic-100k-en and MedQuAD datasets, translat
Externí odkaz:
http://arxiv.org/abs/2410.00163
The main modification to high $p_t$ jets evolving in the quark gluon plasma is the depletion of their energy to the thermal background. Despite the prominent role played by energy loss effects in jet quenching, their theoretical description is still
Externí odkaz:
http://arxiv.org/abs/2409.18174
Autor:
Benedetti, João P. V., Riffel, Rogério, Ricci, Tiago, Riffel, Rogemar A., Pastoriza, Miriani, Trevisan, Marina, Dahmer-Hahn, Luis G., Ruschel-Dutra, Daniel, Rodríguez-Ardila, Alberto, Ferré-Mateu, Anna, Vazdekis, Alexandre, Steiner, João
We studied the ionized gas in the inner region ($\sim680\times470$ pc$^2$) of the galaxy NGC 6868 using Gemini/GMOS integral field unit observations. Channel maps reveal complex kinematics and morphology, indicating multiple processes at work in NGC
Externí odkaz:
http://arxiv.org/abs/2409.08047
Autor:
Manfio, Fernando, Santos, João Batista Marques dos, Santos, João Paulo dos, Van der Veken, Joeri
We classify the hypersurfaces of $\mathbb{Q}^3\times\mathbb{R}$ with three distinct constant principal curvatures, where $\varepsilon \in \{1,-1\}$ and $\mathbb{Q}^3$ denotes the unit sphere $\mathbb{S}^3$ if $\varepsilon = 1$, whereas it denotes the
Externí odkaz:
http://arxiv.org/abs/2409.07978
Financial fraud is the cause of multi-billion dollar losses annually. Traditionally, fraud detection systems rely on rules due to their transparency and interpretability, key features in domains where decisions need to be explained. However, rule sys
Externí odkaz:
http://arxiv.org/abs/2408.12989
Autor:
Bravo, João
Despite the rise to dominance of deep learning in unstructured data domains, tree-based methods such as Random Forests (RF) and Gradient Boosted Decision Trees (GBDT) are still the workhorses for handling discriminative tasks on tabular data. We expl
Externí odkaz:
http://arxiv.org/abs/2410.03535
Autor:
Pereira, Felippe Moraes, Farhat, Jamil de Araujo, Rebelatto, João Luiz, Brante, Glauber, Souza, Richard Demo
In this paper, we investigate the age-of-information (AoI) of a power domain non-orthogonal multiple access (NOMA) network, where multiple internet-of-things (IoT) devices transmit to a common gateway in a grant-free random fashion. More specifically
Externí odkaz:
http://arxiv.org/abs/2410.03398
Autor:
Farhat, Jamil de Araujo, Sant'Ana, Jean Michel de Souza, Rebelatto, João Luiz, Mahmood, Nurul Huda, Pasolini, Gianni, Souza, Richard Demo
We evaluate the performance of the LoRaWAN Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) technique using a device-level probabilistic strategy for code rate and header replica allocation. Specifically, we investigate the effects of different
Externí odkaz:
http://arxiv.org/abs/2410.03392
Autor:
Peron, Guilherme de Santi, Monteiro, Marcos Eduardo Pivaro, de Barros, João Luís Verdegay, Farhat, Jamil, Brante, Glauber
The Internet of Things (IoT) empowers small devices to sense, react, and communicate, with applications ranging from smart ordinary household objects to complex industrial processes. To provide access to an increasing number of IoT devices, particula
Externí odkaz:
http://arxiv.org/abs/2410.03383
Motivated by the growing interest in the nonmetricity-matter couplings, we develop the scalar-tensor formulation of recently introduced $f(Q,T)$ gravity, where $Q$ is the nonmetricity and $T$ is the trace of the energy-momentum tensor. The main prope
Externí odkaz:
http://arxiv.org/abs/2410.00707