Programa criado através da resolução 35/94 do CONSEPE, de 27 de outubro de 1994. https://repositorio.ufma.br/jspui/handle/1/71 2026-04-14T21:50:29Z 2026-04-14T21:50:29Z Silva, Chico https://repositorio.ufma.br/jspui/handle/123456789/485 2016-07-22T12:18:22Z 2016-01-01T00:00:00Z

Título: Atualização do Repositório Institucional UFMA Autor(es): Silva, Chico Resumo: Teste do Repositório Institucional UFMA. Descrição: https://repositorio.ufma.br/jspui/submit#null

2016-01-01T00:00:00Z Martins, Romulo https://repositorio.ufma.br/jspui/handle/1/323 2011-01-20T14:37:41Z 2010-01-01T00:00:00Z

Título: Algoritmo de Cluster para Formação de Grupos de Alunos Autor(es): Martins, Romulo

2010-01-01T00:00:00Z Campos, Vanessa de Oliveira Silva, Aristófanes Corrêa Nunes, Rodolfo Acatauassu Feitosa, Raul Queiroz https://repositorio.ufma.br/jspui/handle/1/311 2010-10-14T14:35:20Z 2010-01-01T00:00:00Z

Título: Multicriterion Homogeneity Metric for Nodule Segmentation and Detection in Computed Tomography. Autor(es): Campos, Vanessa de Oliveira; Silva, Aristófanes Corrêa; Nunes, Rodolfo Acatauassu; Feitosa, Raul Queiroz Resumo: This work proposes a novel segmentation algorithm for lung nodules detection in thoracic computed tomography (CT) which uses more than one criterion in order to decide at each iteration whether two adjacent objects should be merged or not in a region growing procedure. In experiments conducted upon 33 thoracic CTs, support vector machine was used to discriminate nodules and non-nodules. The method achieved 80.9% sensitivity with 0.23 false positives per slice Descrição: Também disponível em: http://www.ic.uff.br/iwssip2010/Proceedings/nav/papers/paper_107.pdf

2010-01-01T00:00:00Z Gattass, Marcelo Silva, Aristófanes C. Silva, Pedro Mario C. e Raposo, Alberto https://repositorio.ufma.br/jspui/handle/1/307 2010-10-14T14:20:09Z 2010-01-01T00:00:00Z

Título: Convergence of Augmented Reality and Scientific Visualization, and its Application to Energy, Medicine and Sports. Autor(es): Gattass, Marcelo; Silva, Aristófanes C.; Silva, Pedro Mario C. e; Raposo, Alberto Resumo: What do we find in common among systems that seek to convey meaningful images to an oil reservoir interpreter, a medical doctor and an ordinary sports fan enjoying a broadcasted game on TV? They are generated by a system that processes captured signals and produces images conveying relevant information to the viewer. These processes are based on Computer Vision techniques to analyze the signal in order to predict forms and find features mainly to answer a “what, where and when” type of question. With such information, Virtual Reality techniques are used to produce meaningful images to the human observer. These systems can be understood as the convergence of the Augmented Reality and Scientific Visualization areas. This study presents some industrydemanded systems developed by the Tecgraf group which reflect this convergence. Descrição: Também disponível em : http://www.ic.uff.br/iwssip2010/Proceedings/nav/papers/ip8.pdf

2010-01-01T00:00:00Z