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Filtragem não-local do ruído Speckle em imagens SAR com modelagem estatística dos coeficientes da Wavelet de Haar e distâncias estocásticas
(Universidade Federal de São Carlos, 2018-06-04)
Due to the coherent processing of synthetic aperture radar (SAR) systems, multiplicative
speckle noise arises providing a granular appearance in SAR images. This kind of noise
makes it difficult to analyse and interpret ...
Modelo para o Projeto de Planos de Ensino em Plataformas Computacionais Móveis
(Universidade Federal de São Carlos, 2018-06-27)
Mobile platforms can provide teaching programs that favor student learning. The characteristics of autonomy and personalization of mobile devices are factors that reinforce this. However, designing a teaching program ...
Algoritmos para a redução de ruído Poisson e estimativa de parâmetros utilizando distâncias estocásticas
(Universidade Federal de São Carlos, 2018-06-14)
Noise is present in all applications of digital imaging. Due to its stochastic nature, it is impossible to determine exact procedures to completely remove noise from the image. Thus, the target signal may be affected during ...
SCAS-Fuzzy: uma estratégia semiautomática para seleção de estudos primários em estudos secundários
(Universidade Federal de São Carlos, 2018-01-23)
Context: Systematic review and systematic mapping are secondary studies used to identify and aggregate relevant literature evidence on a research question of interest. One of the activities associated with secondary studies ...
Mineração de regras de associação espaço-temporais temáticas aplicada a imagens de explosões solares
(Universidade Federal de São Carlos, 2018-09-14)
Introduction. Space weather analysis is a complex task that involves spatiotemporal data from satellite images added to data from daily bulletins.
These data are characterized as time series of georeferenced images and ...
On the training algorithms for Restricted Boltzmann Machine-Based Models
(Universidade Federal de São Carlos, 2018-12-05)
Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...