Zobrazeno 1 - 10
of 680
pro vyhledávání: '"André A. Vieira"'
Autor:
Hu, Zhining, Schlosser, Tobias, Friedrich, Michael, Silva, André Luiz Vieira e, Beuth, Frederik, Kowerko, Danny
In semiconductor manufacturing, the wafer dicing process is central yet vulnerable to defects that significantly impair yield - the proportion of defect-free chips. Deep neural networks are the current state of the art in (semi-)automated visual insp
Externí odkaz:
http://arxiv.org/abs/2407.20268
Autor:
Tiago E. A. Frizon, André A. Vieira, Fabricia N. da Silva, Sumbal Saba, Giliandro Farias, Bernardo de Souza, Eduardo Zapp, Michell N. Lôpo, Hugo de C. Braga, Felipe Grillo, Sergio F. Curcio, Thiago Cazati, Jamal Rafique
Publikováno v:
Frontiers in Chemistry, Vol 8 (2020)
Herein, we report the synthesis and characterization of fluorophores containing a 2,1,3-benzoxadiazole unit associated with a π-conjugated system (D-π-A-π-D). These new fluorophores in solution exhibited an absorption maximum at around ~419 nm (vi
Externí odkaz:
https://doaj.org/article/90979294846841188c8d0fe697779bf6
Autor:
Dimitrius Santiago P. S. F. Guimarães, Ninon M. F. Barrios, André Gustavo deOliveira, David Rizo‐Roca, Maxence Jollet, Jonathon A.B. Smith, Thiago R. Araujo, Marcos Vinicius daCruz, Emilio Marconato Jr., Sandro M. Hirabara, André S. Vieira, Anna Krook, Juleen R. Zierath, Leonardo R. Silveira
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 4, Pp 1335-1347 (2024)
Abstract Background The maintenance of skeletal muscle plasticity upon changes in the environment, nutrient supply, and exercise depends on regulatory mechanisms that couple structural and metabolic adaptations. The mechanisms that interconnect both
Externí odkaz:
https://doaj.org/article/d0a4d88491184486a67364d8ba2b1567
This document presents a preliminary approach to latent fingerprint enhancement, fundamentally designed around a mixed Unet architecture. It combines the capabilities of the Resnet-101 network and Unet encoder, aiming to form a potentially powerful c
Externí odkaz:
http://arxiv.org/abs/2306.00272
Forensic science heavily relies on analyzing latent fingerprints, which are crucial for criminal investigations. However, various challenges, such as background noise, overlapping prints, and contamination, make the identification process difficult.
Externí odkaz:
http://arxiv.org/abs/2306.00231
Publikováno v:
Revista de Direito, Vol 16, Iss 02 (2024)
Este artigo tem como objetivo realizar uma análise comparativa entre a Lei Geral de Proteção de Dados (LGPD) do Brasil e o Regulamento Geral de Proteção de Dados (GDPR) da União Europeia sob a perspectiva da análise econômica do direito. A an
Externí odkaz:
https://doaj.org/article/51efdc922a7d4d3c9436050a22caf2d6
Given a full fingerprint image (rolled or slap), we present CycleGAN models to generate multiple latent impressions of the same identity as the full print. Our models can control the degree of distortion, noise, blurriness and occlusion in the genera
Externí odkaz:
http://arxiv.org/abs/2208.13811
Autor:
Júnior, Wilton O., da Cruz, Mauricio S., Wyzykowski, Andre Brasil Vieira, de Jesus, Arnaldo Bispo
This paper aims to present how the application of Natural Language Processing (NLP) and data augmentation techniques can improve the performance of a neural network for better detection of fake news in the Portuguese language. Fake news is one of the
Externí odkaz:
http://arxiv.org/abs/2205.00452
Autor:
Lucas Scardua-Silva, Beatriz Amorim da Costa, Ítalo Karmann Aventurato, Rafael Batista Joao, Brunno Machado de Campos, Mariana Rabelo de Brito, José Flávio Bechelli, Leila Camila Santos Silva, Alan Ferreira dos Santos, Marina Koutsodontis Machado Alvim, Guilherme Vieira Nunes Ludwig, Cristiane Rocha, Thierry Kaue Alves Silva Souza, Maria Julia Mendes, Takeshi Waku, Vinicius de Oliveira Boldrini, Natália Silva Brunetti, Sophia Nora Baptista, Gabriel da Silva Schmitt, Jhulia Gabriela Duarte de Sousa, Tânia Aparecida Marchiori de Oliveira Cardoso, André Schwambach Vieira, Leonilda Maria Barbosa Santos, Alessandro dos Santos Farias, Mateus Henrique Nogueira, Fernando Cendes, Clarissa Lin Yasuda
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Although some studies have shown neuroimaging and neuropsychological alterations in post-COVID-19 patients, fewer combined neuroimaging and neuropsychology evaluations of individuals who presented a mild acute infection. Here we investigated
Externí odkaz:
https://doaj.org/article/8c67c8424e434511bab60443025a022e
Autor:
Isabella C. Galvão, Ludmyla Kandratavicius, Lauana A. Messias, Maria C. P. Athié, Guilherme R. Assis-Mendonça, Marina K. M. Alvim, Enrico Ghizoni, Helder Tedeschi, Clarissa L. Yasuda, Fernando Cendes, André S. Vieira, Fabio Rogerio, Iscia Lopes-Cendes, Diogo F. T. Veiga
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Focal cortical dysplasia (FCD) is a brain malformation that causes medically refractory epilepsy. FCD is classified into three categories based on structural and cellular abnormalities, with FCD type II being the most common and characterize
Externí odkaz:
https://doaj.org/article/5b72d189c0154ed89d3004fe74226e0a