Výsledky vyhledávání - "Breno Serrano de Araujo"

Applied Deep Learning for Slender Marine Structure Dynamic Analysis

Autor: Luis Volnei Sudati Sagrilo, Vinícius da Silva, Breno Serrano de Araujo

Publikováno v: Journal of Offshore Mechanics and Arctic Engineering. 144

Nonlinear finite element models (FEMs) are commonly used to perform analysis in the time domain to simulate a limited number of stochastic loading scenarios that a slender marine structure may undergo, requiring a high computational time effort. Anal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3596bf1f7499ff07aa5d4f390ccbf472
https://doi.org/10.1115/1.4052243

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Convolutional Neural Networks Applied to Flexible Pipes for Fatigue Calculations

Autor: Breno Serrano de Araujo, Vinícius da Silva

The industry standard approach for the design of flexible pipes makes use of non-linear finite element analysis (FEA) in time domain to simulate the physical responses of the structure in different environmental conditions. Wave dynamics can be repre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77738d546cf3c0c715ebc4d015abca9
https://doi.org/10.1115/1.0005425v

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[en] A MIP APPROACH FOR COMMUNITY DETECTION IN THE STOCHASTIC BLOCK MODEL

Autor: BRENO SERRANO DE ARAUJO

[pt] O Degree-Corrected Stochastic Block Model (DCSBM) é um modelo popular para geração de grafos aleatórios com estrutura de comunidade, dada uma sequência de graus esperados. O princípio básico de algoritmos que utilizam o DCSBM para detecç

Externí odkaz: https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=50168@1
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=50168@2

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UMA ABORDAGEM DE PROGRAMAÇÃO INTEIRA MISTA PARA DETECÇÃO DE COMUNIDADES NO STOCHASTIC BLOCK MODEL

Autor: BRENO SERRANO DE ARAUJO

Publikováno v: Repositório Institucional da PUC-RIO (Projeto Maxwell)
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO

PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR PROGRAMA DE EXCELENCIA ACADEMICA O Degree-Corrected Stochastic Block Model (DCSBM) é um modelo popular para geração de grafos alea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692e6ac3e4f0d116541ed8b64a8cfb90
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=50168@1

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Akademický článek

Computational Intelligence Methods Applied to the Fraud Detection of Electric Energy Consumers.

Autor: Araujo, Breno Serrano de, Almeida, Heraldo Luis Silveira de, Mello, Flavio Luis de

Publikováno v: IEEE Latin America Transactions; Jan2019, Vol. 17 Issue 1, p71-77, 7p

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