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Mineração de regras de associação temporais envolvendo dados quantitativos contínuos
(Universidade Federal de São Carlos, 2020-08-07)
The consideration of temporality in a explicit manner on the task of association rules mining that involves continuous quantitative data is one approach that aims to contribute to the field of study of knowledge discovery ...
Protótipo vestível de sistema de navegação multimodal e interativo para auxílio customizável a pessoas com deficiências visuais
(Universidade Federal de São Carlos, 2020-03-09)
Visual impairment affects millions of people around the world nowadays. By not being able to rely on their vision, people often use other senses to compensate for the lack of vision, such as hearing and touch, when performing ...
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 ...
Improving data locality of bagging ensembles for data streams through mini-batching
(Universidade Federal de São Carlos, 2021-08-27)
Machine Learning techniques have been employed in virtually all domains in the past few years. In many applications, learning algorithms will have to cope with dynamic environments, under both memory and time constraints, ...
Uma arquitetura não intrusiva e reativa para realizar o processo ETL em tempo real em ambientes de data warehousing
(Universidade Federal de São Carlos, 2021-12-20)
There is a great interest in obtaining data that support the decision-making process in business. These data are available in data sources in the operational environment, which are autonomous, heterogeneous, and distributed. ...