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Detecção e análise de assimetrias estruturais 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 the main cause of dementia and affects more than 30% of population older than 85 years old. As the elderly population increases, AD has become a relevant public health problem. However, the ...
Diagnóstico da doença de Alzheimer usando autoencoders aplicados a imagens de ressonância magnética
(Universidade Federal de São Carlos, 2022-04-14)
Alzheimer's disease (AD) is a neurodegenerative disease that causes damage associated with memory and thinking, causing a gradual decline in judgment, reasoning and learning. One of the ways to aid in the diagnosis of AD ...
Uso de aprendizado de máquina supervisionado para mensurar provisão no mercado de crédito estruturado: uma comparação entre modelos
(Universidade Federal de São Carlos, 2023-03-27)
The credit expansion has been fundamental to global economic growth, allowing people and businesses to access more financial resources for investment and consumption within an increasingly complex and competitive economic ...
Sobre a qualidade das bases de dados públicas brasileiras: estudo de caso na saúde
(Universidade Federal de São Carlos, 2022-09-20)
With the ever-growing digitalization of governments worldwide, great effort has been put towards data transparency. One important milestone of this trend is the Open Government Data workshop, which took place in 2007 in ...
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 ...
Classificação de doenças em batata baseado em imagens das folhas de batata utilizando Deep Learning
(Universidade Federal de São Carlos, 2021-01-15)
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Predição de carga de energia elétrica no Brasil utilizando técnicas de Deep Learning
(Universidade Federal de São Carlos, 2022-10-22)
The open electricity market has stood out for being a competitive and dynamic way of trading an asset that was previously restricted to passive consumption. The freedom of negotiation provided to the participants of this ...
Análise comparativa entre algoritmos de agrupamento e de detecção de comunidades em redes
(Universidade Federal de São Carlos, 2021-11-22)
Clustering is one of the most notorious Machine Learning techniques and has an infinite number of practical applications in different areas of knowledge. Understanding the types of approaches and their characteristics is ...
Modelagem de arquitetura baseada em microsserviços com foco em segurança
(Universidade Federal de São Carlos, 2022-04-14)
Data are key players in the Fourth Industrial Revolution as they enable the digital world to become increasingly connected and intelligent. Among the various types of data, personal and sensitive data demand greater caution ...
Implementação de uma arquitetura para minerar regras de associação espaciais a partir de dados espaciais fuzzy
(Universidade Federal de São Carlos, 2022-09-15)
The use and importance of spatial data have been growing more and more. With the assimilation of the real world, many spatial phenomena are modeled and represented by fuzzy spatial objects, which have blurred interiors, ...