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Itens para a visualização no momento 21-30 of 30
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 ...
Aprendizado de mudança de conceito por floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2020-12-17)
Classification algorithms take their decisions according to a learning process on the training set. Therefore, the data to be classified in the test set must have the same distribution as the training set to be correctly ...
Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, 2021-09-21)
Alzheimer's disease is a progressive and irreversible neurodegenerative condition with development characterized by asymmetrical brain atrophies. Across life, due to neuronal aging, a cognitively healthy brain presents ...
Framework para investigação de mapeamentos de aplicações em arquiteturas manycore
(Universidade Federal de São Carlos, 2022-12-07)
This thesis proposes an implementation of a framework for mapping graphs onto manycore architectures with multi-objective metrics optimization. The aim is to propose a new approach in relation to the works found in the ...
Extração de características por transferência de aprendizado profundo no âmbito do monitoramento não Invasivo de cargas residenciais
(Universidade Federal de São Carlos, 2024-01-08)
The development of techniques that allow the efficient identification of loads, ideally in a nonintrusive way, is a key factor for the practical implementation of home energy management systems. Recently, the use of ...
Além do aprendizado local e global: particionando o espaço de classes em problemas de classificação multirrótulo
(Universidade Federal de São Carlos, 2023-11-14)
Inducing a model capable of predicting a set of labels for an instance is the objective of multi-label classification, a supervised predictive machine learning task. Work in the literature has shown that identifying, ...
Uma arquitetura para sistemas de recomendação de música baseado em contexto da interação e experiência do usuário
(Universidade Federal de São Carlos, 2023-12-20)
This doctoral thesis addresses the research problem: "How can music recommendation systems be improved to more effectively integrate interaction context and user experience?". In response to this question, the research ...
Anotação semântica baseada em ontologia aplicada em imagens médicas
(Universidade Federal de São Carlos, 2023-07-13)
Breast cancer is one of the most common types of cancer among women in Brazil and worldwide. Early diagnosis of a breast lesion is a priority for effective treatment at lower costs, with mammography being the most used ...
A framework for the design of digital games with therapeutic potential by people in recovery from Substance Use Disorders
(Universidade Federal de São Carlos, 2023-12-11)
Concerns related to mental health have been spread worldwide and computing has demanded efforts in the development of solutions to support therapies for mental disorders. Substance Use Disorders (SUDs) are no longer being ...
Abordagem computacional para avaliação automática da qualidade da argumentação na dimensão retórica de tweets no domínio da política brasileira
(Universidade Federal de São Carlos, 2023-05-08)
Research in the area of argumentation, inherent to human beings and essential for both spoken and written communication, dates back to the 4th century BC. The argument is multidisciplinary and covers several fields of ...