Zobrazeno 1 - 10
of 314 477
pro vyhledávání: '"A A, Teixeira"'
The dynamics of personal relationships remain largely unexplored due to the inherent difficulties of the longitudinal data collection process. In this paper, we analyse a dataset tracking the temporal evolution of a network of personal relationships
Externí odkaz:
http://arxiv.org/abs/2410.11635
This paper introduces ROSAR, a novel framework enhancing the robustness of deep learning object detection models tailored for side-scan sonar (SSS) images, generated by autonomous underwater vehicles using sonar sensors. By extending our prior work o
Externí odkaz:
http://arxiv.org/abs/2410.10554
Autor:
Basílio, Gustavo A., Pereira, Thiago B., Koerich, Alessandro L., Dias, Ludmila, Teixeira, Maria das Graças da S., Sousa, Rafael T., Hisatugu, Wilian H., Mota, Amanda S., Garcia, Anilton S., Galletta, Marco Aurélio K., Tavares, Hermano, Paixão, Thiago M.
Major Depressive Disorder and anxiety disorders affect millions globally, contributing significantly to the burden of mental health issues. Early screening is crucial for effective intervention, as timely identification of mental health issues can si
Externí odkaz:
http://arxiv.org/abs/2410.05450
Autor:
Hartarsky, Ivailo, Teixeira, Augusto
We revisit the Bootstrap Percolation model, leveraging recent mathematical advances linking it with its local counterpart. This new perspective resolves, for the first time, historic discrepancies between Monte Carlo simulations and theoretical resul
Externí odkaz:
http://arxiv.org/abs/2410.01619
Publikováno v:
Journal of Molecular Liquids, 412 (2024) 125742
The thermodynamic behavior of mixed systems containing the anionic surfactant sodium dodecyl sulfate (SDS) and the nonionic surfactant polyethylene glycol dodecyl ether (Brij L4) in aqueous solutions was investigated. Electrical conductivity and inte
Externí odkaz:
http://arxiv.org/abs/2410.01983
This book provides a self-contained introduction to geometric group theory. The topics range from an introduction of Cayley and Schreier graphs to Gromov's theorem on groups of polynomial growth and amenability. We discuss the ping-pong lemma, quasi-
Externí odkaz:
http://arxiv.org/abs/2409.17797
Autor:
Kubischta, Eric, Teixeira, Ian
We perform a complete classification of all 56 subgroups of the two-qubit Clifford group containing the two-qubit Pauli group. We provide generators for these groups using gates familiar to the quantum information community and we reference these gro
Externí odkaz:
http://arxiv.org/abs/2409.14624
We consider random walks in dynamic random environments and propose a criterion which, if satisfied, allows to decompose the random walk trajectory into i.i.d. increments, and ultimately to prove limit theorems. The criterion involves the constructio
Externí odkaz:
http://arxiv.org/abs/2409.12515
Autor:
Kubischta, Eric, Teixeira, Ian
We design flexible fault tolerant gate gadgets that allow the data and the ancilla to be encoded using different codes. By picking a stabilizer code for the ancilla we are able to perform both Clifford and non-Clifford gates fault tolerantly on gener
Externí odkaz:
http://arxiv.org/abs/2409.11616
Autor:
da Rosa, Augusto Seben, Angeli, Marlon Daniel, Junior, Jorge Aikes, Ferreira, Alef Iury, Gris, Lucas Rafael, Soares, Anderson da Silva, Junior, Arnaldo Candido, de Oliveira, Frederico Santos, Damke, Gabriel Trevisan, Sousa, Rafael Teixeira
We developed a jitted compiler for training Artificial Neural Networks using C++, LLVM and Cuda. It features object-oriented characteristics, strong typing, parallel workers for data pre-processing, pythonic syntax for expressions, PyTorch like model
Externí odkaz:
http://arxiv.org/abs/2409.11600