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Paralelização de algoritmos de busca de documentos mais relevantes na web utilizando GPUs
(Universidade Federal de São Carlos, 2019-02-13)
Search engines are facing performance challenges because of the large number of documents and the increase of query loads in the Web environment. The success of a search engine is related to the ability of the query ...
Recomendações de design para jogos educacionais Inclusivos para diferentes dispositivos
(Universidade Federal de São Carlos, 2020-03-18)
In the last decades, digital games have invaded people daily lives. The increasingly fast and
accessible Internet, combined with the popularization of mobile devices, have promoted the
growth of the digital games market, ...
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 ...
Detecção automática da superfície sagital mediana em imagens de ressonância magnética do cérebro humano usando uma abordagem de filtragem multiescala
(Universidade Federal de São Carlos, 2020-06-26)
Both hemispheres of the human brain, left and right, are separated by a fissure called interhemispheric (IHF), which is commonly shaped by a geometric plane, known as midsagittal plane (MSP). However, despite the name, the ...
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 ...
Geração de conjuntos consistentes de regras para classificação multirrótulo com algoritmo evolutivo multiobjetivo
(Universidade Federal de São Carlos, 2020-06-25)
Multi-label classification a machine learning task whose objective is to generate models capable of learning relationships between descriptive characteristics of objects and the sets of classes to which such objects belong. ...
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. ...
Método para classificação de sementes agrícolas em imagens obtidas por tomografia de raios-X em alta resolução
(Universidade Federal de São Carlos, 2020-05-20)
This research produced a method for classifying agricultural oil seeds based on tomography (CT) assays. Oilseeds may present good or poor quality for planting, the latter being related to the presence of defects associated ...
Mineração de dados espaciais aplicada no delineamento de unidades de gestão diferenciada em agricultura de precisão
(Universidade Federal de São Carlos, 2017-09-12)
Precision Agriculture (PA) is an agricultural cultivation strategy which uses technologies
and principles to manage the spatial and temporal variability related to all aspects that surround
a crop, in order to increase ...
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 ...