https://repositorio.ufma.br/jspui/handle/1/71 Programa criado através da resolução 35/94 do CONSEPE, de 27 de outubro de 1994. Tue, 14 Apr 2026 21:50:29 GMT 2026-04-14T21:50:29Z https://repositorio.ufma.br/jspui/handle/123456789/485 Título: Atualização do Repositório Institucional UFMA Autor(es): Silva, Chico Resumo: Teste do Repositório Institucional UFMA. Descrição: https://repositorio.ufma.br/jspui/submit#null Fri, 01 Jan 2016 00:00:00 GMT https://repositorio.ufma.br/jspui/handle/123456789/485 2016-01-01T00:00:00Z https://repositorio.ufma.br/jspui/handle/1/323 Título: Algoritmo de Cluster para Formação de Grupos de Alunos Autor(es): Martins, Romulo Fri, 01 Jan 2010 00:00:00 GMT https://repositorio.ufma.br/jspui/handle/1/323 2010-01-01T00:00:00Z https://repositorio.ufma.br/jspui/handle/1/311 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 Fri, 01 Jan 2010 00:00:00 GMT https://repositorio.ufma.br/jspui/handle/1/311 2010-01-01T00:00:00Z https://repositorio.ufma.br/jspui/handle/1/307 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 Fri, 01 Jan 2010 00:00:00 GMT https://repositorio.ufma.br/jspui/handle/1/307 2010-01-01T00:00:00Z