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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 ...
Proposta de um middleware para monitoramento de situações de emergência em ambientes físicos ou lógicos cientes de contexto.
(Universidade Federal de São Carlos, 2004-07-21)
Ubiquitous computing in which information and services are offered to users in a
continuous and non-intrusive way, is widely explored for classroom, meeting rooms, tourist
guides, intelligent home and also safety-critical ...
Proposta de um procedimento de programação on-line da produção de sistemas flexíveis de manufatura baseado em lógica fuzzy.
(Universidade Federal de São Carlos, 2004-08-25)
Flexible manufacturing systems (FMS) have been designed to meet market
requirements that demand products that are quality and ready to deliver. In order to
meet the market requirements, the methodologies used in the FMS ...
Método RSCT reengenharia de software orientada a componentes usando transformações.
(Universidade Federal de São Carlos, 2004-08-16)
This project researched a Component-Oriented Software Reengineering Method using Transformations, named RSCT. The researched method extends the RST Method [Fon02a,
Fon02b, Fon02c, Fon02d, Fon04], adding resources to treat ...
Agrupamento de dados semissupervisionado na geração de regras fuzzy
(Universidade Federal de São Carlos, 2010-08-27)
Inductive learning is, traditionally, categorized as supervised and unsupervised.
In supervised learning, the learning method is given a labeled data set (classes
of data are known). Those data sets are adequate for ...
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. ...
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 ...
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 ...
Um método de planejamento de rotas de voo de VANTs multirotor para cobertura de áreas utilizando a meta-heurística ACO
(Universidade Federal de São Carlos, 2019-12-09)
With the popularization of Unmanned Aerial Vehicles (UAVs), and with the expansion of the application areas of this technology, there is an increase of research focused on flight route planning. This work starts from the ...