Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Maurício Araujo Dias"'
Autor:
Cintia Yurie Yamada, Danilo Medeiros Eler, Ives Renê Venturini Pola, Almir Olivette Artero, Maurício Araujo Dias
Publikováno v:
Colloquium Exactarum, Vol 9, Iss 1, Pp 14-32 (2017)
Técnicas de classificação como Rede Neural Artificial e Rede Bayesiana são muito utilizadas para a tarefa de reconhecimento de padrões. A maioria delas constrói um padrão e em seguida submete novas instâncias a uma comparação com o padrão
Externí odkaz:
https://doaj.org/article/8e09756537f0488db3d521e3628822d6
Autor:
Danilo Medeiros Eler, Alex Castilho de Almeida, Jaqueline Batista Martins Teixeira, Ives Rene Venturini Pola, Fernanda Paula Barbosa Pola, Maurício Araujo Dias, Celso Olivete Junior
Publikováno v:
Colloquium Exactarum, Vol 9, Iss 1 (2017)
Multidimensional projection techniques are important tools employed in data set exploration and data mining tasks. The data set instances are described in a multidimensional space and projection techniques can be employed to reduce the data set dimen
Externí odkaz:
https://doaj.org/article/890eed6d11f940f59f5a2b0eed37dbf2
Autor:
Danilo Medeiros Eler, Alex Castilho de Almeida, Jaqueline Batista Martins Teixeira, Ives Rene Venturini Pola, Fernanda Paula Barbosa Pola, Maurício Araujo Dias, Celso Olivete Junior
Publikováno v:
Colloquium Exactarum, Vol 9, Iss 1 (2017)
Multidimensional projection techniques are important tools employed in data set exploration and data mining tasks. The data set instances are described in a multidimensional space and projection techniques can be employed to reduce the data set dimen
Externí odkaz:
https://doaj.org/article/c706bf78288e4fe8a73aa2ef6597b4c6
Autor:
Julia Rodrigues, Mauricio Araújo Dias, Rogério Negri, Sardar Muhammad Hussain, Wallace Casaca
Publikováno v:
Land, Vol 13, Iss 9, p 1427 (2024)
The integrated use of remote sensing and machine learning stands out as a powerful and well-established approach for dealing with various environmental monitoring tasks, including deforestation detection. In this paper, we present a tunable, data-dri
Externí odkaz:
https://doaj.org/article/ec96865d6b8f459690bad41b1dc9c066
Autor:
Giovanna Carreira Marinho, Wilson Estécio Marcílio Júnior, Mauricio Araujo Dias, Danilo Medeiros Eler, Almir Olivette Artero, Wallace Casaca, Rogério Galante Negri
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5760 (2023)
Anomaly detection based on Kittler’s Taxonomy (ADS-KT) has emerged as a powerful strategy for identifying and categorizing patterns that exhibit unexpected behaviors, being useful for monitoring environmental disasters and mapping their consequence
Externí odkaz:
https://doaj.org/article/b83e1179507d4af287fa2c5a7d4aef10
Autor:
Giovanna Carreira Marinho, Wilson Estécio Marcílio Júnior, Mauricio Araujo Dias, Danilo Medeiros Eler, Rogério Galante Negri, Wallace Casaca
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4085 (2023)
Dimensionality reduction is one of the most used transformations of data and plays a critical role in maintaining meaningful properties while transforming data from high- to low-dimensional spaces. Previous studies, e.g., on image analysis, comparing
Externí odkaz:
https://doaj.org/article/87f9baf64c894d10961b652ff0632ae4
Autor:
Wellington Lima Salomão, Almir Olivette Artero, Felipe Ribeiro, Luiz Carlos Marques Vamderlei, Maurício Araújo Dias, Francisco Assis da Silva
Publikováno v:
Colloquium Exactarum, Vol 14, Iss 1 (2022)
O Eletrocardiograma continua sendo um exame muito importante ao cardiologista, pois consiste em um exame simples e de baixo custo para se obter um primeiro diagnóstico do coração. Entretanto, o custo dos equipamentos comerciais ainda impossibilita
Externí odkaz:
https://doaj.org/article/22468551285142e0844f24b02a90fc26
Autor:
Maurício Araújo Dias, Giovanna Carreira Marinho, Rogério Galante Negri, Wallace Casaca, Ignácio Bravo Muñoz, Danilo Medeiros Eler
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2222 (2022)
Environmental monitoring, such as analyses of water bodies to detect anomalies, is recognized worldwide as a task necessary to reduce the impacts arising from pollution. However, the large number of data available to be analyzed in different contexts
Externí odkaz:
https://doaj.org/article/230a0de6c02b42d8990619680155be94
Autor:
Miriam Maria Pedrosa, Samara Calçado de Azevedo, Erivaldo Antonio da Silva, Maurício Araújo Dias
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1306-1319 (2017)
Impact craters help scientists to understand the geological history of planetary bodies. The aim of this paper is to improve the existing methodology for impact craters detection in images of planetary surfaces using a new approach based on morpholog
Externí odkaz:
https://doaj.org/article/856af7a832d4410e8b19c2a4a04d23b6
Publikováno v:
Energies, Vol 13, Iss 6, p 1407 (2020)
The prediction of electricity generation is one of the most important tasks in the management of modern energy systems. Improving the assertiveness of this prediction can support government agencies, electric companies, and power suppliers in minimiz
Externí odkaz:
https://doaj.org/article/f2731d7e9f92407dbbdab4936948c4c1