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Now showing items 11-18 of 18
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 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 ...
Reduzindo o custo do teste de mutação com base no conceito de arcos primitivos
(Universidade Federal de São Carlos, 2021-02-02)
Context: Software testing plays an important role in quality assurance. Testing techniques and criteria help the tester to develop and assess test suites. Mutation testing is a fault-based testing criterion commonly used ...
Detecção de postagens com informações falsas sobre a pandemia do Covid-19 na rede social Instagram
(Universidade Federal de São Carlos, 2021-07-05)
This dissertation addresses the detection of false information on Instagram, the social network
that has been growing more and more compared to other social media platforms. Because it
is a social network with multimedia ...
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 ...
Auditchain: um mecanismo para atestar a integridade de logs baseado na prova de existência em blockchain pública
(Universidade Federal de São Carlos, 2021-04-12)
Digital data are critical to people and companies, acting as a crucial element in the decisionmaking process in different areas. Thus, attesting to data integrity is crucial because forgery can result in significant losses. ...
SBIdC-MPH: sistema baseado em internet das coisas para o monitoramento de pacientes com hipertensão
(Universidade Federal de São Carlos, 2022-02-09)
Noncommunicable Diseases (NCDs) are one of the greatest challenges in Health, mainly due to their magnitude and their high social cost. The four main groups of NCDs, cardiovascular diseases, Cancer, Diabetes and chronic ...
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 ...