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Partial automation of the seismic to well tie with the matching region estimation and segmented global optimization
(Universidade Federal de São Carlos, 2023-07-13)
Geophysical interpretation plays a fundamental role in the oil and gas exploration domain. Various geophysical methods can be employed to extract information about the geological configuration of rocks. The well-to-seismic ...
Abordagem computacional para avaliação automática da qualidade da argumentação na dimensão retórica de tweets no domínio da política brasileira
(Universidade Federal de São Carlos, 2023-05-08)
Research in the area of argumentation, inherent to human beings and essential for both spoken and written communication, dates back to the 4th century BC. The argument is multidisciplinary and covers several fields of ...
Framework para investigação de mapeamentos de aplicações em arquiteturas manycore
(Universidade Federal de São Carlos, 2022-12-07)
This thesis proposes an implementation of a framework for mapping graphs onto manycore architectures with multi-objective metrics optimization. The aim is to propose a new approach in relation to the works found in the ...
EIFuzzCND: uma estratégia incremental para classificação multiclasse e detecção de novidades em fluxos de dados
(Universidade Federal de São Carlos, 2023-10-06)
The study addresses novelty detection in data streams, emphasizing the significance of this task in high-volume and high-velocity information environments. It proposes substantial improvements to the EFuzzCND algorithm, ...
Previsão de variáveis climáticas e classificação de risco de incêndios florestais no Pantanal brasileiro
(Universidade Federal de São Carlos, 2023-12-19)
The Pantanal biome is of inestimable ecological importance, mainly due to its fauna and flora. However, this biome is constantly threatened by the occurrence and recurrence of forest fires, which are strongly associated ...
Extração de características por transferência de aprendizado profundo no âmbito do monitoramento não Invasivo de cargas residenciais
(Universidade Federal de São Carlos, 2024-01-08)
The development of techniques that allow the efficient identification of loads, ideally in a nonintrusive way, is a key factor for the practical implementation of home energy management systems. Recently, the use of ...
A framework for the design of digital games with therapeutic potential by people in recovery from Substance Use Disorders
(Universidade Federal de São Carlos, 2023-12-11)
Concerns related to mental health have been spread worldwide and computing has demanded efforts in the development of solutions to support therapies for mental disorders. Substance Use Disorders (SUDs) are no longer being ...
Além do aprendizado local e global: particionando o espaço de classes em problemas de classificação multirrótulo
(Universidade Federal de São Carlos, 2023-11-14)
Inducing a model capable of predicting a set of labels for an instance is the objective of multi-label classification, a supervised predictive machine learning task. Work in the literature has shown that identifying, ...
Uma arquitetura para sistemas de recomendação de música baseado em contexto da interação e experiência do usuário
(Universidade Federal de São Carlos, 2023-12-20)
This doctoral thesis addresses the research problem: "How can music recommendation systems be improved to more effectively integrate interaction context and user experience?". In response to this question, the research ...
Hybrid and semi-supervised predictive bi-clustering trees for interaction prediction
(Universidade Federal de São Carlos, 2023-04-05)
Interaction data is obtained by observing and recording interactions between objects.
The use of interaction data makes it possible to solve many complex problems. Currently, there are several ways to use this data to ...