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Análise de algoritmos de construção de grafos em conjuntos de dados de alta dimensionalidade
(Universidade Federal de São Carlos, 2023-08-28)
The rapid development and adoption of information technologies, such as the internet, have resulted in an explosion in data generation, significantly increasing the volume of new instances with various attributes. The vast ...
Previsão da rugosidade superficial de aços endurecidos através de rede neural artificial
(Universidade Federal de São Carlos, 2023-04-05)
Surface integrity is a critical concept in the field of mechanical engineering, which refers to the quality and properties of a material's surface after it has undergone a manufacturing process. Therefore, controlling the ...
Classificação de imagens de satélite com redes neurais convolucionais
(Universidade Federal de São Carlos, 2023-04-06)
Satellite images are used in several areas, such as agribusiness, urban planning, environmental monitoring, among others. These images have a large and complex amount of data and the application of Machine Learning techniques ...
Algoritimo de detecção de retinopatia diabética baseado em aprendizado de máquina
(Universidade Federal de São Carlos, 2023-04-06)
In this study, the application of neural network and machine learning techniques was explored in order to identify the presence of lesions related to diabetic retinopathy (DR) in fundus images. DR is a frequent complication ...
Análise comparativa entre técnicas de aprendizado de máquina aplicadas para a predição de preços de produtos hortifrutícolas
(Universidade Federal de São Carlos, 2023-08-29)
Family farming is characterized as any form of land cultivation managed by a family, employing its own members as the main labor force. Most agricultural establishments in Brazil fit this definition, however, the area ...
Estudo do algoritmo de clusterização K-means no processo de seleção de materiais
(Universidade Federal de São Carlos, 2023-03-20)
The use of machine learning algorithms has become common in everyday life,
bringing to realize experiments in several fields of material engineering. This study
complements the Ashby methodology with the clustering machine ...
Estudo das aplicações de data science e machine learning na engenharia química
(Universidade Federal de São Carlos, 2022-09-13)
Today, with the advancement of technology and the ability of computers to store huge
amounts of data, companies and industries have sought out professionals trained to deal with
the challenge of organizing and extracting ...
Detecção de defeitos em tecidos através de redes neurais convolucionais
(Universidade Federal de São Carlos, 2022-05-03)
This work aims to apply transfer learning to a detector based on convolutional neural networks to identify defects and patterns through tissue images. With Industry 4.0, intelligent systems are increasingly being applied ...
Um estudo sobre a provisão de consórcio com séries temporais e machine learning
(Universidade Federal de São Carlos, 2022-04-07)
The consortium sector of a particular company works by dividing its customers into groups that start and finish at the same time the payment of installments of a combined amount to obtain their own vehicle. The acquisition ...
Modelo machine learning de um trocador de calor tipo placa via modelo gerado no Aspen
(Universidade Federal de São Carlos, 2022-09-12)
Mathematical optimization methods tend to be increasingly applied, both due to the greater capacity of computers, as well as the greater knowledge of the behavior of the systems and consequent knowledge of the variables ...