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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 ...
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 ...
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 ...
Método de escolha de Scheduling para problemas de Job Shop Flexível utilizando um tomador de decisão Fuzzy
(Universidade Federal de São Carlos, 2022-11-11)
Among the scheduling problems encountered in production, there is the flexible job shop (FJSP),
which is an extension of the classic Job Shop. The FJSP is classified as an NP-Hard problem and can
be described as a set ...
A tool-supported approach to adapt web user interfaces considering the emotional state of the user
(Universidade Federal de São Carlos, 2022-03-10)
The field of Human-Computer Interaction aims at developing computational systems that place the user at the center of the their development, so he/she can have the best experience when interact with the final solution. ...
Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29)
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest
into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such
control occurs mainly through the ...
Método para contagem de plantas de milho baseado no processamento digital de imagens multiespectrais utilizando Drones em ambiente de campo
(Universidade Federal de São Carlos, 2022-03-15)
The processing of multispectral images acquired with an embedded camera in unmanned aerial vehicles (Drones) has brought new opportunities for precision agriculture. In such a context, this work presents a method for ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...
Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins
(Universidade Federal de São Carlos, 2020-03-10)
In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...