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Mostrando ítems 291-298 de 298
Detector de pontos salientes 3D baseado na DT-CWT com aplicação no posicionamento de malhas deformáveis em imagens de ressonância magnética do cérebro
(Universidade Federal de São Carlos, 2019-08-30)
The magnetic resonance (MR) imaging is a noninvasive method that allows high soft tissue differentiation by providing a good anatomical detailing level. For this reason, the MR image is often used to help in diagnosis and ...
Algoritmo genético embarcado aplicado à indução de operadores morfológicos
(Universidade Federal de São Carlos, 2016-03-07)
The use of genetic algorithms, evolutionary strategies and genetic programming has been
notoriously addressed in the areas of image processing and computer vision and has contributed with diverse results. However, this ...
Uma arquitetura para planejamento e acompanhamento de voo de VANTs em ambientes de multiprojeção
(Universidade Federal de São Carlos, 2018-03-06)
Nowadays, the use of Unmanned Aerial Vehicles (UAVs), also known as Drones, has grown in several areas, such as military, civilian and entertainment. These vehicles can capture large volumes of data, such as images and ...
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 ...
Critérios para priorização de estudos primários identificados por snowballing com conjunto inicial gerado por string de busca
(Universidade Federal de São Carlos, 2017-02-16)
Background: In any area of science, all proposed technology should be evaluated and characterized so that the community can understand when, where and how to apply it. Particularly in the Software Engineering field, the ...
Explorando gamificação no ensino de teste de software
(Universidade Federal de São Carlos, 2019-12-20)
Context: Testing is a fundamental activity in the development process, and aims at revealing faults. Despite its importance, the time devoted to testing education has not been enough, resulting in the lack of trained ...
Conversing learning: applying the wisdom of crowds to assist never ending learning tasks
(Universidade Federal de São Carlos, 2013-09-21)
In Machine Learning systems we often apply techniques are often applied to learn about real world problems behavior from data. Traditionally, such data comes from instances of datasets (that represents the target problem) ...
Análise de sentimento multiclasse: uma abordagem com o uso de aprendizado de máquina
(Universidade Federal de São Carlos, 2019-02-28)
In the globalized world, the analysis of data generated from the most varied sources, especially the textual ones, has become of great importance for the acquisition of knowledge and information. In this respect, the ...