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Um novo método Wrapper multiobjetivo para seleção de bandas de Imagens Hiperspectrais
(Universidade Federal de São Carlos, 2020-02-19)
Hyperspectral images (HIs) are characterized by higher spectral resolution than other kind of images, having applications in areas such as medicine, mining, and especially in agriculture. These images in conjunction with ...
Automated analysis of leukocyte recruitment for in vivo studies using a spatiotemporal approach and multiple image features
(Universidade Federal de São Carlos, 2020-03-30)
Over the last few years, many researchers have directed their efforts and interests toward in vivo studies of the cellular and molecular mechanisms in the microcirculation of many tissues under different inflammatory ...
Descrevendo regiões de imagens através de redes neurais profundas e abstract meaning representation
(Universidade Federal de São Carlos, 2020-05-28)
The world around us is composed of images that often need to be translated into words. This translation can take place in parts, converting regions of the image into textual descriptions. The description of the region of ...
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 ...
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 ...
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 ...
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 ...