Browsing Cursos de Graduação by CNPq Subject "CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO"
Now showing items 21-40 of 60
-
Análise comparativa de algoritmos de construção de grafos e técnicas de incorporação de palavras na análise de sentimentos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2024)Sentiment analysis has become a crucial tool for understanding public perception in various areas, such as marketing, politics, and social media. It allows the extraction of valuable insights from large volumes of text, ... -
Projeto e implementação de um ambiente de capacitação em computação em nuvem com virtualização
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2024)OpenStack-based cloud computing platforms are notoriously complex to deploy, requiring the efforts of operators who are familiar with the process and its interactions with the surrounding environment. In particular, ... -
Proposta de uma GAN para geração de moléculas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)In the field of biology, molecules play a crucial role, acting as the fundamental building blocks that make up everything around us, from elements like water and air to the intricate structures that make up our own bodies. ... -
Alocação de carteiras de ações utilizando aprendizado de máquina e regras fuzzy
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/09/2022)Long-term investments through stock portfolios attract the attention of investors, who are looking for simple and effective ways to select stocks to compose a portfolio, as well as find a series of assets that will have ... -
Previsão do preço do café utilizando redes neurais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 27/09/2022)The present article aims to develop a study on the functioning of Multi-Layer Neural Networks, in order to predict the price of coffee, based on certain climatic conditions. In this way, it can be used as an aid tool at ... -
Programação de um módulo de business intelligence no Block-Based Integrated Platform for Embedded Systems (BIPES)
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/09/2022)With the modernization of technologies and the activities of the society, the decision-making process starts to depend on the analysis of increasingly larger data sets. The increase in the use of the internet, the emergence ... -
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 ... -
Avaliação de métodos de construção de redes e detecção de comunidades no agrupamento de textos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/09/2022)Due to the large amount of data produced daily in text format, whether publicly on social networks or privately within companies, there is a need to analyze and extract information from them. The goal is to turn them into ... -
Segmentação de vasos sanguíneos utilizando Redes Neurais Convolucionais: visualização e análise de correlação dos mapas de ativação
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/03/2023)Convolutional neural networks (CNN) are responsible for advancing the automation of tasks in the field of computer vision, with image classification, object recognition and image segmentation, as it is present in different ... -
Análise e aplicações do algoritmo UMAP para classificação e redução de dimensionalidade de conjuntos de dados com múltiplas variáveis
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/03/2023)Through many real-life applications, gathering information through real instruments subject to noise and imperfections tends to generate datasets where the number of observed variables and components easily exceeds a number ... -
Avaliação entre a correlação de atributos das áreas alteradas imagens de ressonância magnética de pulmão, bem como a concentração de marcadores inflamatórios no sangue de pacientes com COVID-19
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/09/2022)SARS-CoV-2, also known as COVID-19, was responsible for the global pandemic that started in 2019, which has repercussions to this day. This project aimed to find a correlation between characteristics extracted from the ... -
Geração de chave na camada física para sistemas FDD baseado em aprendizagem profunda
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/08/2023)The advancement of telecommunications and the transition to the next generation of networks (6G) opens new challenges and opportunities. Security at the physical layer (PLS, Physical Layer Security) is crucial to ensure ... -
Inteligência artificial para testes de software
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2024)The software development process is essential for applications used on a daily basis. Part of this process involves the stage of software testing, responsible for revealing the presence of defects and improving the ... -
Utilização de aprendizagem de máquina para classificação de e-mails em categorias relevantes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)One of the main technology tools currently used to exchange information is the email service. However, managing the high volume of information received is one of the major challenges encountered in using this service in ... -
Programação linear, linear inteira e os algoritmos Simplex e Branch and Bound: Problemas e aplicações em otimização
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 17/06/2021)Optimization problems are those in which the objective is to maximize or minimize a function, called an objective function. In the optimization process, restrictions on decision variables are determined, according to which ... -
Método escalável para aproximar uma MST utilizando um grafo de k vizinhos mais próximos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 25/06/2021)Finding the Minimum Spanning Tree (MST) consists of inducing a spanning tree whose sum of edge costs is minimal. Among many applications, the MST is widely used in unsupervised machine learning algorithms, such as ... -
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 ... -
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 ...