Zobrazeno 1 - 10
of 38 389
pro vyhledávání: '"Alvarenga"'
Autor:
Magacho-Vieira FN, Vieira AO, Soares Jr A, Alvarenga HCL, de Oliveira Junior IRA, Daher JAC, Napoli JVMP, Serra JPDA, Provázio SC
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 17, Pp 2755-2765 (2024)
Fabiano Nadson Magacho-Vieira,1,2 Abrahao Osta Vieira,3 Amarilho Soares Jr,4 Hellise Christine Lana Alvarenga,5 Iran Roger Alkimin de Oliveira Junior,6 João Antonio Correa Daher,7 João Vitor Moraes Pithon Napoli,8 Júlia Portocarrero de Almeida Ser
Externí odkaz:
https://doaj.org/article/84442e583adb423c8b9e07dd6915d18b
Publikováno v:
Pattern Recognition Letters (2024)
Convolutional neural networks (CNNs) can learn directly from raw data, resulting in exceptional performance across various research areas. However, factors present in non-controllable environments such as unlabeled datasets with varying levels of dom
Externí odkaz:
http://arxiv.org/abs/2412.18105
Convolution is a compute-intensive operation placed at the heart of Convolution Neural Networks (CNNs). It has led to the development of many high-performance algorithms, such as Im2col-GEMM, Winograd, and Direct-Convolution. However, the comparison
Externí odkaz:
http://arxiv.org/abs/2407.10730
Publikováno v:
RUDN Journal of Studies in Literature and Journalism, Vol 23, Iss 3, Pp 331-340 (2018)
The article presents the results of an empirical study, which was held shortly before of the 2018 FIFA World Cup. The goal was to identify the features of the presentation of the Brazilian teams in social networks. The hypothesis that the authors tes
Externí odkaz:
https://doaj.org/article/ae346766436b49a6849ce21b52d6ab0e
Autor:
Schmidt SL, Santos da Silva M, Schmidt JJ, Carvalho ALN, Vasconcelos CCF, Paes RA, Boechat YEM, Neder R, Alvarenga RP
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 14, Pp 1665-1670 (2018)
Sergio L Schmidt,1,2 Michele Santos da Silva,2 Juliana J Schmidt,2 Ana Lucia Novais Carvalho,3 Claudia Cristina Ferreira Vasconcelos,2 Renata Alves Paes,2 Yolanda EM Boechat,4 Rafael Neder,2 Regina P Alvarenga2 1Department of Neurophysiology, State U
Externí odkaz:
https://doaj.org/article/5848f077a76e40a39d30825f0acdc278
The structure of unimodular gravity (UG) is invariant to a subclass of diffeomorphism, the transverse diffeomorphism, due to the unimodular condition ($\sqrt{-g}=\epsilon=cte$). Consequently, there is a freedom to define how the conservation laws of
Externí odkaz:
http://arxiv.org/abs/2402.09645
Autor:
Bezerra, Leonardo C. T., Brownlee, Alexander E. I., Alvarenga, Luana Ferraz, Moioli, Renan Cipriano, Batista, Thais Vasconcelos
Artificial intelligence (AI) has driven many information and communication technology (ICT) breakthroughs. Nonetheless, the scope of ICT systems has expanded far beyond AI since the Turing test proposal. Critically, recent AI regulation proposals ado
Externí odkaz:
http://arxiv.org/abs/2402.05048