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Now showing items 31-40 of 109
Classificação de sinais fisiológicos para inferência do estado emocional de usuários
(Universidade Federal de São Carlos, 2019-02-25)
Emotional state plays a fundamental role in explaining human behavior in everyday life, influencing decisions and even how to communicate. Therefore, understanding these characteristics and how to identify them is of the ...
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 ...
Deep learning para classificação hierárquica de elementos transponíveis
(Universidade Federal de São Carlos, 2018-09-05)
Transposable Elements (TEs) are DNA sequences that can change its location within a cell's genome. They contribute directly to the genetic variety of species. Besides, their transposition mechanisms can affect the functionality ...
Identificação automática de equivalência de conceitos em diferentes idiomas para aprendizado sem fim
(Universidade Federal de São Carlos, 2019-06-24)
Artificial Intelligence (AI) refers to a machine capable of systematizing and automating tasks that require intelligence when performed by humans. With AI it may be possible to create a decision-making process with an ...
Técnicas de reconhecimento de imagem para incorporação em ferramentas de auxílio a deficientes visuais
(Universidade Federal de São Carlos, 2019-06-26)
Visual impairment can cause many limitations to a person, which includes working in basic
home duties, professional activities, and also changing the way the world is perceived by
him or her. The advent of new technologies ...
Redes neurais recorrentes e XGBoost aplicados à previsão de radiação solar no horizonte de curto prazo
(Universidade Federal de São Carlos, 2018-08-28)
Precise estimates of energy production and consumption are essential to promote the integration of renewable energy sources to the electrical grid, guiding power supply balance through cycles and fluctuations inherent to ...
Distributed d-fuzzstream: agrupamento fuzzy não supervisionado distribuído em fluxo de dados
(Universidade Federal de São Carlos, 2019-02-26)
In the last decade, the interest in managing unlimited sequences of data produced at high rates, known as data stream (DS), has grown. Applications of DSs include sensor networks, weather analysis, stock market analysis, ...
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 ...
Detecção de invasões biológicas no cerrado utilizando deep learning
(Universidade Federal de São Carlos, 2019-07-18)
The Cerrado represents an important reserve of natural resources, with biodiversity representativity worldwide. On the other hand, biological invasions can threaten the balance and put in risk local species, in this way ...