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Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins
(Universidade Federal de São Carlos, 2020-03-10)
In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...
Extração de características e aprendizado não-supervisionados em imagens hiperespectrais
(Universidade Federal de São Carlos, 2020-04-29)
Hyperspectral imagery have hundreds of bands and greater subtle differences discrimination capacity in compariosion with multispectral imagery, which benefits precision applications. However, inherent high spectral ...
Classificação de imagens de ressonância magnética nas classes Normal, Comprometimento Cognitivo Leve e Alzheimer usando projeções PCA e Kernel PCA, e máquinas de vetores suporte
(Universidade Federal de São Carlos, 2020-06-24)
Given the aging of the population in Brazil and the world, with a possible inversion of the
age pyramid, moving towards an increasing number of older adults (≥ 60 years), projected
1.4 billion, 16.4% of the world population, ...
Uma álgebra ER para consultas em bancos de dados NoSQL: implementação de operadores adicionais e análise de desempenho
(Universidade Federal de São Carlos, 2020-04-09)
Databases and database systems are essential to modern life. In a scenario of increasing data handling arose the need to find newer ways to store and process data that are able to cope with the rapid evolution of society. ...
Análise da predição da violência infantil por meio de árvores de decisão e regras de associação
(Universidade Federal de São Carlos, 2020-06-02)
According to the United Nations International Children's Emergency Fund (UNICEF), currently around 300 million children around the world suffer from various types of abuse, including: psychological, physical, sexual or ...
Extração automática de relações semânticas a partir de dados ruidosos
(Universidade Federal de São Carlos, 2020-03-09)
Relationship extraction is a task performed in text-based continuous learning systems, aiming to find semantic relationships between categories or entities. NELL is such a system, which suffers from supervised labeling in ...
Um mecanismo de tratamento de exceções sensível ao contexto aplicado a internet das coisas
(Universidade Federal de São Carlos, 2020-10-08)
Internet of Things (IoT) devices, which can range from smart watches to health
monitors, are increasingly intrinsic and ubiquitously connected in people’s routine.
With such ubiquitous devices and applications growing ...
Avaliação de geradores automáticos de dados de teste com ênfase no teste de mutação
(Universidade Federal de São Carlos, 2021-03-31)
Context: With the increasing presence of technology in daily life, it is crucial to guarantee the quality of software products, which can be reached by testing activity. However, testing is highly expensive, once it is ...
Intuitive: modelo conceitual para workflows de ETL
(Universidade Federal de São Carlos, 2020-09-09)
The information domain is seen as a competitive differential in the most varied business areas, such as health, agribusiness, telecommunications, logistics, and government agencies. The correct and updated information is ...
Um método de otimização com parâmetros de desempenho para Cloud Network Slices focado no locatário
(Universidade Federal de São Carlos, 2021-01-29)
Cloud Network Slicing (CNS), emerging alongside the 5G mobile network, comprises a paradigm shift in the way networks are provisioned, managed, and operated. Fundamentally, CNS fosters the deployment of a multitude of ...