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Mostrando ítems 381-387 de 387
Onto Solar Flare - uma ontologia de domínio/aplicação sobre explosões solares sob escopo do método ECID
(Universidade Federal de São Carlos, 2020-08-14)
Solar flares are phenomena capable of causing several damages in radio systems, communication
satellites, global positioning systems (GPS), among others. The possible damage can vary
according to the intensity of the ...
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) ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...
Melhoria do tratamento de obstáculos na abordagem de agrupamento de dados espaciais SWMU clustering
(Universidade Federal de São Carlos, 2020-08-20)
The technological has been improved considerably in recent years, providing the great benefits to several areas of application. Among these areas, agriculture had a great boost, enabling the increasing of the production ...
Atividades didáticas para o ensino de computação na pré-escola
(Universidade Federal de São Carlos, 2020-12-16)
In the 21st century, various activities involve the use of or depend on computer technologies to exist. In this scenario, although children are surrounded by computing, many are still passive users, that is, they do not ...
Neural networks for feature-extraction in multi-target classification
(Universidade Federal de São Carlos, 2020-08-21)
Multi-target learning is a prediction task where each data example is associated with multiple target-variables (outputs) simultaneously. One of the challenges in this research field is related to the high dimensionality ...
Métodos para estimativa de imagens NIR a partir de imagens de câmeras RGB
(Universidade Federal de São Carlos, 2020-04-17)
Precision Agriculture involves the use of technology for management and decision making to allow rural producers to get better production results. To gain the desired effect, it is necessary a huge data collection and ...