Speeding up optimum-path forest training by path-cost propagation

In this paper we present an optimization of the Optimum-Path Forest classifier training procedure, which is based on a theoretical relationship between minimum spanning forest and optimum-path forest for a specific path-cost function. Experiments on public datasets have shown that the proposed approach can obtain similar accuracy to the traditional one but with faster data training. © 2012 ICPR Org Committee.

Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials

The automatic characterization of particles in metallographic images has been paramount, mainly because of the importance of quantifying such microstructures in order to assess the mechanical properties of materials common used in industry. This automated characterization may avoid problems related with fatigue and possible measurement errors. In this paper, computer techniques are used and assessed towards the accomplishment of this crucial industrial goal in an efficient and robust manner. Hence, the use of the most actively pursued machine learning classification techniques. In particularity, Support Vector Machine, Bayesian and Optimum-Path Forest based classifiers, and also the Otsu's method, which is commonly used in computer imaging to binarize automatically simply images and used here to demonstrated the need for more complex methods, are evaluated in the characterization of graphite particles in metallographic images. The statistical based analysis performed confirmed that these computer techniques are efficient solutions to accomplish the aimed characterization. Additionally, the Optimum-Path Forest based classifier demonstrated an overall superior performance, both in terms of accuracy and speed. © 2012 Elsevier Ltd. All rights reserved.

Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals

Secondary phases such as Laves and carbides are formed during the final solidification stages of nickel based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the γ″ and δ phases. This work presents a new application and evaluation of artificial intelligent techniques to classify (the background echo and backscattered) ultrasound signals in order to characterize the microstructure of a Ni-based alloy thermally aged at 650 and 950 °C for 10, 100 and 200 h. The background echo and backscattered ultrasound signals were acquired using transducers with frequencies of 4 and 5 MHz. Thus with the use of features extraction techniques, i.e.; detrended fluctuation analysis and the Hurst method, the accuracy and speed in the classification of the secondary phases from ultrasound signals could be studied. The classifiers under study were the recent optimum-path forest (OPF) and the more traditional support vector machines and Bayesian. The experimental results revealed that the OPF classifier was the fastest and most reliable. In addition, the OPF classifier revealed to be a valid and adequate tool for microstructure characterization through ultrasound signals classification due to its speed, sensitivity, accuracy and reliability. © 2013 Elsevier B.V. All rights reserved.

A Companhia de Jesus e a formação da cultura sexual brasileira: um estudo histórico e documental a partir dos escritos do padre Manuel da Nóbrega

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Diagnóstico do uso do solo na bacia hidrográfica do Ribeirão do Paraíso no município de São Manuel (SP), por meio de geotecnologias

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Do monopólio à livre concorrência: a liberdade religiosa no pensamento de Tavares Bastos (1839-1875)

Pós-graduação em História - FCLAS

Densidade de plantio na produção de ervilha-de-vagem

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fenologia, produção e qualidade dos frutos de cultivares de pessegueiro (Prunus Persica L. Bastch) em São Manuel – SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Constância da retórica, mudança de Estilo: a obra acadêmica de Cláudio Manuel da Costa

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O amor mestiço nas modinhas e nos lundus de Domingos Caldas Barbosa (1740- 1800) e nas mornas de Eugénio Tavares (1867- 1930)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Ecos medievalizantes na poesia de Manuel Bandeira: um exercício de aprendizagem poética

Pós-graduação em Letras - IBILCE

Manuel pratique d'évaluation de l'impact social, économique et environnemental des catastrophes

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