Listar TCC por temas CNPq "CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO"
Mostrando ítems 21-34 de 34
-
Uma análise comparativa de desempenho entre diferentes tecnologias de execução de aplicações web do lado do servidor
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/12/2020)This work compares the performance of native applications against applications to be executed by execution systems. The applications were built with two frameworks meant for server-side application development with Java: ... -
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) ... -
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 ... -
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 ... -
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 ... -
Um estudo de redes neurais recorrentes no contexto de previsões no mercado financeiro
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 17/12/2020)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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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. ...