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Segmentação e quantificação de tecidos das regiões hipocampais em imagens de ressonância magnética aplicadas ao auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, 2022-04-13)
Alzheimer’s disease (AD), is a neurodegenerative disease that destroys brain cells, causing losses in cognitive functions and the ability to perform simple tasks daily. AD has a progressive course and its prevalence increases ...
Uma análise do aplicativo Moodle Mobile para pessoas com deficiência visual
(Universidade Federal de São Carlos, 2021-01-06)
Due to the rapid evolution in the efficiency and the popularity of mobile devices, these devices have become essential for the daily lives of most people. In this context, accessibility tools and techniques must follow ...
Desenvolvimento e validação de módulo de comunicação MQTT para a plataforma BIPES para aplicações de internet das coisas
(Universidade Federal de São Carlos, 2020-12-16)
A current trend is towards the adoption of alternative no-code programming methods, which allows the development of programs without writing even a line of code or knowing a programming language. One approach is to use ...
Um Estudo Sobre Medidores Inteligentes de Energia
(Universidade Federal de São Carlos, 2021-01-13)
The world electricity sector is undergoing a major revolution thanks to the birth
and implementation of so-called Smart Grids or Intelligent Energy Grids. This
revolution is centered on the massive and active use of ...
Investigação de abordagens híbridas para sistemas de recomendação implícitos
(Universidade Federal de São Carlos, 2020-12-16)
This project deals with the investigation of implicit recommender systems, in relation to the accuracy and versatility of the systems, and of the hybridization as a tool to improve these performance metrics. Databases of ...
Um estudo de redes neurais recorrentes no contexto de previsões no mercado financeiro
(Universidade Federal de São Carlos, 2020-12-17)
Financial time series forecasting is one of the most researched artificial intelligence applications by financial market analysts, both in the academic and corporate world. Within this area, there is a great emphasis on ...
Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São Carlos, 2020-06-26)
Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ...
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, 2021-06-22)
Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ...
Aprimoramento de um modelo iterativo de segmentação de lesões de esclerose múltipla em imagens de ressonância magnética
(Universidade Federal de São Carlos, 2022-04-15)
Multiple Sclerosis (MS) is a cronical, inflammatory and demyelinating disease that impairs the central nervous system (CNS). MS is possibly autoimmune and mainly affects the young adult population. Although its diagnosis ...
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, 2021-11-19)
Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ...