TCC: Recent submissions
Itens para a visualização no momento 41-60 of 67
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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 ... -
Construção de um pipeline de dados utilizando serviços da nuvem
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)The evolution of the computer network and the increasing access and interaction of the world population to the internet has provided a change in the data scenario. At all times, data is generated in exorbitant amounts and ... -
ECID lite: uma aplicação para previsão de explosões solares
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 13/04/2022)Solar flares are phenomena that happen on the Sun, which consist of a sudden release of a large amount of energy. This large release of solar radiation causes electromagnetic disturbances on the earth, affecting communications, ... -
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 ... -
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 ... -
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) ... -
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 ... -
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 ... -
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 19/11/2021)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 ... -
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/06/2021)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 ... -
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 ... -
Perceptions of Brazilian college students about ethics in computer-based data collection and interventions for mental health
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/11/2021)Many college students worldwide exhibited bad symptoms of mental health conditions. In Brazil, the indicators are particularly alarming. Computing technologies have been investigated as possible support in this scenario. ... -
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 ... -
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 23/11/2021)Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ... -
Utilização de agrupamento como método de pré-processamento em problemas de regressão linear
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 19/11/2021)For real-world data to be explored, pre-processing is needed in order to ease machine learning applications. Nowadays, various pre-processing techniques are available, and this paper aims to show the impacts of using ... -
Mapeamento isométrico de atributos baseado em geometria diferencial para aprendizado de métricas não supervisionado
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/11/2021)The act of representing a dataset in a way that’s more compact and significant is denominated dimensionality reduction. The capacity of building adaptive distance functions to each dataset before classification is known ... -
Análise de polaridade e de tópicos em tweets no domínio da política no Brasil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/10/2021)The political scenario in Brazil is one of the busiest and most controversial in the last decade. With the advent of social networks, a new communication channel between voters and politicians was created, with users having ... -
Aprendizado não supervisionado de métricas via redução de dimensionalidade para reconhecimento de dígitos numéricos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/11/2021)Character recognition is a task that has occurred since the last century and is still a problem to be solved nowadays. One of the challenges is that the characters to be classified are images, therefore, they have many ... -
Emoweb-k: extensão de um plugin para adaptar interfaces de usuário na web considerando emoções
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/06/2021)Emotions are an important aspect of the user experience when using a system. In the literature, there are works that propose systems that change as user interfaces (UI) considering emotions, taking into account what is ... -
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 ...