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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 ...
Redução automatizada de redes de petri baseada em algoritmos genéticos
(Universidade Federal de São Carlos, 2014-06-26)
Petri Net (PN) is a graphical mathematical tool used to create models that provide a formal specification of systems, creating the possibility of running behavior analysis and property verification. PN models can be used ...
Reconhecimento de gestos da Língua Brasileira de Sinais através de máquinas de vetores de suporte e campos aleatórios condicionais ocultos
(Universidade Federal de São Carlos, 2013-05-24)
This work investigates the use of Support Vector Machines and Hidden Conditional Random Fields in the recognition of signs from the Brazilian Sign Language (Língua Brasileira de Sinais, Libras). Employing basic concepts ...
Método de reconstrução tomográfica de amostras agrícolas com o emprego de técnicas big data
(Universidade Federal de São Carlos, 2020-01-31)
A new method of high resolution tomographic reconstruction of agricultural samples is presented, which uses the spectral density of X-ray tomographic projections as a criterion to minimize processing time and obtain good ...
Quantificação e agrupamento de neurônios in vitro usando mapas auto-organizáveis em matriz de microeletrodos
(Universidade Federal de São Carlos, 2020-03-02)
Understanding how information is encoded in large neuronal networks
is one of the biggest challenges in neuroscience. A possible approach
to investigate the information processing capabilities of
neuronal nets is given ...
Uso de múltiplos descritores com condições de contorno e visualização hierárquica em CBIR
(Universidade Federal de São Carlos, 2017-03-23)
Multiple descriptors have been tested and used in Content-Based Image Retrieval (CBIR) systems. Each descriptor consists of a feature extractor associated with a distance function. An extractor is generally suitable for ...
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 ...
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 ...
Otimização por colônia de formigas para o problema de programação job-shop flexível multiobjetivo
(Universidade Federal de São Carlos, 2018-05-10)
The job-shop production scheduling activity is at the most detailed and complex level of a production planning and control system. The Flexible Job-shop Scheduling Problem (FJSP) is an extension of the job-shop scheduling ...
Definição e avaliação de um modelo genérico para coleta de dados e geração de representações visuais de interações de aprendizagem em jogos educacionais
(Universidade Federal de São Carlos, 2019-09-24)
The use of educational games by teachers in their classes can have a significant and positive impact on their students’ learning and development skills. There are, however, some difficulties that can jeopardize the follow-up ...