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Now showing items 21-26 of 26
Agrupamento de dados semissupervisionado na geração de regras fuzzy
(Universidade Federal de São Carlos, 2010-08-27)
Inductive learning is, traditionally, categorized as supervised and unsupervised.
In supervised learning, the learning method is given a labeled data set (classes
of data are known). Those data sets are adequate for ...
Uma abordagem orientada por modelos para o desenvolvimento de software na computação ubíqua
(Universidade Federal de São Carlos, 2010-07-01)
With the advancement of hardware capability and key technologies of software and networking, ubiquitous computing is becoming a reality. The term ubiquitous computing refers to environments saturated with computing devices ...
Compreensão de diferenças culturais para identificar pessoas com potenciais interesses comuns em sites de redes sociais
(Universidade Federal de São Carlos, 2010-09-24)
In this research we described a way to obtain a method, through a cyclical approach of work, which goals to identify people, users of social networks that are talking about the same subject. The motivation for obtaining ...
Modelagem de sistemas de manufatura usando Redes de Petri Coloridas Fuzzy focando a solução de conflitos
(Universidade Federal de São Carlos, 2010-06-29)
A Flexible Manufacturing System is a production system where more than one event can occur simultaneously in parallel, asynchronously or concurrently. These are designed to meet the needs of the market, demand for improved ...
SIAF: um sistema de informação, a ser integrado num ambiente de computação ubíqua, para gerenciamento de atividade física
(Universidade Federal de São Carlos, 2010-06-26)
The World Health Organization (WHO) recommends performing regular physical activities as a way to combat the population inactivity. In São Carlos-SP municipality such activities are promoted by the health units and generate ...
Novas propostas em filtragem de projeções tomográficas sob ruído Poisson
(Universidade Federal de São Carlos, 2010-05-24)
In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, ...