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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 ...
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 ...
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 ...
Redução de ruído Poisson com o algoritmo BM3D utilizando distâncias estocásticas
(Universidade Federal de São Carlos, 2021-06-02)
Noise is a problem constantly present in digital images incoming from multiple sources, being important to study noise filters to improve the quality of images. When dealing with radiographic images, Poisson noise is an ...
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 ...
Um estudo de caso sobre como a introdução de comportamentos adaptativos em uma aplicação web legada impacta a cobertura de código
(Universidade Federal de São Carlos, 2020-09-16)
Context: Self-managing computer systems, also known as self-adaptive systems, are an alternative to get IT professionals free from details of operation and maintenance. Web applications can incorporate characteristics of ...
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 ...
Uma abordagem holística para o desenvolvimento de software multiplataforma
(Universidade Federal de São Carlos, 2020-10-06)
Background: Software systems have become fundamental in the activities of individuals and companies in recent years. The possibility of easy access became possible after the popularization of the web platform in the first ...