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Organização de termos e documentos utilizando Co-clustering e agrupamento de Word Embeddings
(Universidade Federal de São Carlos, 2021-12-15)
There is a large amount of text documents available on the web which increases as more devices and users connect to the network. Analyzing and organizing such documents considering characteristics such as subject and ...
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 ...
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 ...
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, ...
Integração de dados baseada em ontologia
(Universidade Federal de São Carlos, 2008-05-30)
The study on data integration is not new but neither is exhausted. Its need is increasingly clear due to the search for information in a general environment with increasing availability of data proceeding from distributed ...
Aprendizado de máquina construtivo e classificação hierárquica multirrótulo aplicados à geração de moléculas
(Universidade Federal de São Carlos, 2023-02-09)
One of the goals of Medicinal Chemistry is to discover new molecules with drug-like characteristics, which is challenging because the search space is discrete, unstructured, and enormous. In recent years, computation has ...
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. ...
Uma nova estratégia de transferência de aprendizado profundo visando o diagnóstico de condições e doenças relacionadas aos olhos
(Universidade Federal de São Carlos, 2023-07-25)
Data from the World Health Organization indicate that billions of cases of visual impairment could be avoided, mainly with regular examinations. However, the absence of specialists in basic health units has resulted in a ...
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 ...
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 ...