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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 ...
Controle ℋ∞ não linear adaptativo baseado em aprendizado profundo para robôs móveis com rodas
(Universidade Federal de São Carlos, 2023-02-09)
The implementation of autonomous mobile robots raises important issues when you want a robust navigation system to transport loads. These types of vehicles are often subject to parametric uncertainties and external ...
Seleção de SNPs em culturas de arroz utilizando aprendizado de máquina
(Universidade Federal de São Carlos, 2024-02-02)
Rice (Oryza sativa) is one of the largest collections of genetic resources among plant
species of economic interest. To increase the productivity of this cultivar, several genetic
variability studies have been developed. ...
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 ...
Sistema de visão computacional para reconhecimento e classificação de padrões de famílias de plantas invasoras
(Universidade Federal de São Carlos, 2023-06-08)
Computer Vision, in addition to involving pattern recognition and object classification techniques, has been characterized as an emerging field of fundamental importance in the context of intelligent computing. Its application ...
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 ...
Construção automática de grafo de conhecimento no domínio do e-commerce
(Universidade Federal de São Carlos, 2022-04-27)
Extracting knowledge efficiently, when large volumes of data are generated daily, is still a challenge. In most cases, these data are unstructured, that is, they are presented in textual or visual format without a clear ...
Desenvolvimento de um algoritmo de planejamento de trajetória em ambientes desconhecidos e não estruturados para UAVs
(Universidade Federal de São Carlos, 2021-08-30)
To make a UAV (Unmanned Aerial Vehicle) autonomous, it must perform actions without human interference in its missions. Regardless of the area of operation, several autonomous UAV missions require path planning, being able ...
Análise experimental da eficácia de um método de inspeção da interface de usuário para predição da resposta emocional
(Universidade Federal de São Carlos, 2020-12-18)
In the area of Human-Computer Interaction (IHC), evaluations help to know the desires and problems that people face when interacting with user interfaces (UI). Evaluations can be carried out in order to investigate aspects ...