Browsing Cursos de Graduação by Subject "Machine learning"
Now showing items 1-20 of 21
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Utilização de aprendizado supervisionado na predição da demanda de energia no processo de produção de cumeno
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/06/2021)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, UFSCar, , Câmpus São Carlos, 28/06/2021)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, UFSCar, , Câmpus São Carlos, 11/12/2015)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 ... -
Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/06/2020)Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ... -
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/06/2021)Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ... -
Seleção de SNPs utilizando random forests
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/07/2020)Single Nucleotide Polymorphisms (SNPs) are single-base variations in the nucleotide sequence of different individuals or between homologous sequences within a living being. A large part of genetic variations occur as SNPs. ... -
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 23/11/2021)Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ... -
Análise comparativa entre algoritmos de agrupamento e de detecção de comunidades em redes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/11/2021)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 ... -
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 19/11/2021)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 ... -
Aprendizado não supervisionado de métricas via redução de dimensionalidade para reconhecimento de dígitos numéricos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/11/2021)Character recognition is a task that has occurred since the last century and is still a problem to be solved nowadays. One of the challenges is that the characters to be classified are images, therefore, they have many ... -
Um estudo sobre a provisão de consórcio com séries temporais e machine learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/04/2022)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 ... -
Detecção de defeitos em tecidos através de redes neurais convolucionais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 03/05/2022)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 ... -
Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)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 ... -
Modelo machine learning de um trocador de calor tipo placa via modelo gerado no Aspen
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/09/2022)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 ... -
Estudo das aplicações de data science e machine learning na engenharia química
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 13/09/2022)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 ... -
Análise comparativa entre técnicas de aprendizado de máquina aplicadas para a predição de preços de produtos hortifrutícolas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/08/2023)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, UFSCar, , Câmpus São Carlos, 20/03/2023)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 ... -
Previsão da rugosidade superficial de aços endurecidos através de rede neural artificial
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 05/04/2023)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 ... -
Algoritimo de detecção de retinopatia diabética baseado em aprendizado de máquina
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2023)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 ... -
Classificação de imagens de satélite com redes neurais convolucionais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2023)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 ...