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Uma análise comparativa de desempenho entre diferentes tecnologias de execução de aplicações web do lado do servidor
(Universidade Federal de São Carlos, 2020-12-14)
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: ...
Um estudo de redes neurais recorrentes no contexto de previsões no mercado financeiro
(Universidade Federal de São Carlos, 2020-12-17)
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 ...
Emoweb-k: extensão de um plugin para adaptar interfaces de usuário na web considerando emoções
(Universidade Federal de São Carlos, 2021-06-15)
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 ...
Análise de artigos científicos sobre COVID-19: uma perspectiva usando redes complexas
(Universidade Federal de São Carlos, 2022-04-18)
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 ...
Aprimoramento de um modelo iterativo de segmentação de lesões de esclerose múltipla em imagens de ressonância magnética
(Universidade Federal de São Carlos, 2022-04-15)
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 ...
Mapeamento isométrico de atributos baseado em geometria diferencial para aprendizado de métricas não supervisionado
(Universidade Federal de São Carlos, 2021-11-16)
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 ...
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, 2021-06-22)
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 ...
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 ...
Perceptions of Brazilian college students about ethics in computer-based data collection and interventions for mental health
(Universidade Federal de São Carlos, 2021-11-10)
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 de polaridade e de tópicos em tweets no domínio da política no Brasil
(Universidade Federal de São Carlos, 2021-10-14)
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 ...