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Comparação de ferramentas de análise de dados para uso no marketing digital
(Universidade Federal de São Carlos, 2024-01-31)
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, 2024-01-29)
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, 2024-02-16)
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, 2023-03-27)
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, 2022-09-20)
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, 2021-06-18)
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, 2021-06-16)
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, 2021-01-15)
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Segmentação dos hipocampos em imagens de ressonância magnética usando modelos geométricos deformáveis e informações de textura
(Universidade Federal de São Carlos, 2022-04-15)
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, 2022-04-13)
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 ...