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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 ...
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 ...
Projeto de um sistema de registro de sinais de neurônios em matriz de microeletrodos com ressonância estocástica
(Universidade Federal de São Carlos, 2019-09-11)
This PhD thesis aims at the study and practical implementation of a complete system capable of recording electrical signals from a Microelectrode Array. This multi-electrode planar matrix known as MEA (MicroElectrode Array), ...
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 ...
Explorando abordagens de classificação contextual para floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2016-06-24)
Pattern recognition techniques have been widely studied and disseminated in order to
develop ways to improve the e ectiveness of the pattern classi ers using labeled samples.
However, such techniques usually work following ...
Single, multi- and many-objective meta-heuristic algorithms applied to pattern recognition
(Universidade Federal de São Carlos, 2019-07-10)
In the last few years, metaheuristic algorithms have been used for solving several problems in engineering, biology, physics, among others, since many of them can be modeled as being optimization tasks. Metaheuristic methods ...
Abordagem utilizando realidades aumentada e virtual para suportar cursos baseados em metodologias ativas de aprendizagem (AURAV-SCBMAA)
(Universidade Federal de São Carlos, 2019-11-22)
Over the last few years, the evolution of Information and Communication Technologies (ICT) has impacted the interaction between people. In Education, significant changes have occurred in student behavior, and traditional ...
Automatic computational scheme for segmentation, volumetric assessment and analysis of multiple sclerosis lesions in magnetic resonance images of the human brain
(Universidade Federal de São Carlos, 2019-09-27)
Multiple Sclerosis (MS) is an inflammatory demyelinating (that is, with myelin loss) disease of the Central Nervous System (CNS). It is considered an autoimmune disease in which the immune system wrongly recognizes the ...
Conversing learning as a crowd-powered approach to diminish the effects of semantic drift in bootstrap learning algorithms
(Universidade Federal de São Carlos, 2019-08-21)
Internet and social Web made possible the acquisition of information to feed a growing number of Machine Learning applications and, in addition, brought light to the use of crowdsourcing approaches, commonly applied to ...
3D face recognition with descriptor images and shallow convolutional neural networks
(Universidade Federal de São Carlos, 2020-11-05)
Nowadays, there is an increasing need for systems that can accurately and quickly identify a person. Traditional identification methods utilize something a person knows or something a person has. This kind of methods has ...