Listar Cursos de Graduação por temas CNPq "CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO"
Mostrando ítems 1-20 de 36
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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, UFSCar, , Câmpus São Carlos, 13/04/2022)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, UFSCar, , Câmpus São Carlos, 14/04/2022)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, UFSCar, , Câmpus São Carlos, 27/03/2023)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, UFSCar, , Câmpus São Carlos, 20/09/2022)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, UFSCar, , Câmpus São Carlos, 16/12/2020)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, UFSCar, , Câmpus São Carlos, 15/01/2021)- -
Predição de carga de energia elétrica no Brasil utilizando técnicas de Deep Learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/10/2022)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, UFSCar, , Câmpus São Carlos, 22/11/2021)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, UFSCar, , Câmpus São Carlos, 14/04/2022)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, UFSCar, , Câmpus São Carlos, 15/09/2022)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, ... -
Mock objects: um estudo de caso de uma aplicação na indústria
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)Context: Modern Java applications make extensive use of mock objects. In this context, many approaches to this topic are present in the literature. A great number of these, employ basic OO design principles, such as object ... -
Uma análise experimental de modelos de relacionamentos direcionais em banco de dados espaciais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/04/2022)The use of spatial data is constantly growing in several areas of knowledge. This information is stored in Spatial Databases, which use approximations to simplify objects and thus reduce execution time. Spatial queries ... -
Classificação de placas de trânsito com redes neurais para automação de veículos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 09/03/2022)This article aims to develop a study on the functioning of Convolutional Neural Networks in the classification of traffic signs for use in autonomous cars, thus being able to be used as a tool to aid the vehicle in the ... -
Filtro stateless a 10G definido em Bluespec e implementado em FPGA
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/06/2021)One of the pillars of cybersecurity is the principle of isolation, and one of the main ways to apply this principle to networks with globally routable addresses is packet filtering. With the increasing bandwidth consumed ... -
Infraestrutura computacional altamente replicável e portável para pesquisa em Ciência de Dados utilizando OpenHPC
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/06/2021)High-performance computing or HPC refers to the use of supercomputers or the use of multiple computers in tasks that require a large amount of processing. An HPC infrastructure is a requirement to carry out research in the ... -
Análise de artigos científicos sobre COVID-19: uma perspectiva usando redes complexas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)The COVID-19 pandemic was one of the 21st century's biggest events, impacting the lives of all the people on the planet. From a scientific perspective, it was a very accelerated growth period for the medical, pharmaceutical ... -
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, UFSCar, , Câmpus São Carlos, 13/04/2022)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 ... -
Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/06/2020)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 ... -
Aprimoramento de um modelo iterativo de segmentação de lesões de esclerose múltipla em imagens de ressonância magnética
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/04/2022)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 ... -
Segmentação dos hipocampos em imagens de ressonância magnética usando modelos geométricos deformáveis e informações de textura
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/04/2022)Hippocampi are brain structures intimately related to cognition, hence they are of great clinical interest for the diagnosis and analysis of the progression of neurodegenerative diseases, such as Alzheimer’s disease (AD) ...