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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 ...
Análise comparativa entre algoritmos de agrupamento e de detecção de comunidades em redes
(Universidade Federal de São Carlos, 2021-11-22)
Clustering is one of the most notorious Machine Learning techniques and has an infinite number of practical applications in different areas of knowledge. Understanding the types of approaches and their characteristics is ...
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 ...
Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, 2022-04-18)
Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...
Utilização de aprendizado supervisionado na predição da demanda de energia no processo de produção de cumeno
(Universidade Federal de São Carlos, 2021-06-29)
Data Science is a field of knowledge very requested nowadays, specially for
digital and technology industries. Despite the increasing investment in this area,
also by chemical industries, some elements of data science, ...
Perspectivas do aprendizado de máquina no ensino da Engenharia Química
(Universidade Federal de São Carlos, 2021-06-28)
Machine learning is an area of Artificial Intelligence that can predict results from a large
set of data. Therefore, many areas are already benefiting from this new technology, such as credit
analysis companies that use ...
A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
(Universidade Federal de São Carlos, 2015-12-11)
This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in ...
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, 2021-11-19)
Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ...