Listar Cursos de Graduação por temas CNPq "CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO"
Mostrando ítems 21-36 de 36
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Comparação de ferramentas de análise de dados para uso no marketing digital
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 31/01/2024)This paper focuses on the importance of data analysis in the field of digital marketing and choosing the most appropriate data analysis tool to optimize marketing strategies. The study compares three popular data analysis ... -
Benchmark de chatbots para o redesign das interfaces conversacionais do projeto Amive
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/01/2024)Major depression is a serious illness that affects more than 15% of the Brazilian population. Among university students, the prevalence is even higher. Researchers from the Amive project, funded by FAPESP, are training ... -
Identificação de escritor por transformada SIFT e SVM-Linear na língua portuguesa
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/02/2024)This work investigates the feasibility of the SIFT Transform (Scale-Invariant Feature Transform) and the SVM-Linear algorithm (Support Vector Machine-Linear) for identifying authors in texts in portuguese. The research ... -
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 ... -
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 ... -
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)- -
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) ... -
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 ... -
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 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 ... -
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 ... -
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 ... -
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 ...