Navegando por assunto "Machine learning"
Itens para a visualização no momento 1-20 of 72
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Análise de algoritmos de construção de grafos em conjuntos de dados de alta dimensionalidade
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/08/2023)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, 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 ... -
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 ... -
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 ... -
Seleção de SNPs em culturas de arroz utilizando aprendizado de máquina
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 02/02/2024)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. ... -
Desenvolvimento de novas metodologias de acoplamento C-C e/ou C-N: mesclando ciência de dados e catálise metálica
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Química - PPGQ, Câmpus São Carlos, 06/10/2023)The approach of statistical methods capable of accurately predicting the relationship between structure and reactivity represents a major impact on the development of reactions. Recently, machine learning tools have been ... -
Sistema de visão computacional para reconhecimento e classificação de padrões de famílias de plantas invasoras
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 08/06/2023)Computer Vision, in addition to involving pattern recognition and object classification techniques, has been characterized as an emerging field of fundamental importance in the context of intelligent computing. Its application ... -
Hybrid and semi-supervised predictive bi-clustering trees for interaction prediction
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 05/04/2023)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 ... -
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 ... -
Aprendizado de máquina para a conservação da biodiversidade: adequabilidade de habitat nas unidades de conservação do estado de São Paulo
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciências Ambientais - PPGCAm, Câmpus São Carlos, 27/02/2023)Habitat Suitability Models (HSMs) are statistical models that relate the location of species and environmental variables that restrict their distribution. They can be developed by Machine Learning algorithms, aiming to ... -
Aprendizado semi-supervisionado e não supervisionado para análise de dados de expressão gênica
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, , 27/05/2008)Data clustering has been seen, in the last decades, as an important tool for gene expression data analysis. In recent years, due to the progress in gene annotation research, a growing interest has been noticed for the ... -
Aprendizado de máquina baseado em separabilidade linear em sistema de classificação híbrido-nebuloso aplicado a problemas multiclasse
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, , 29/06/2009)This master thesis describes an intelligent classifier system applied to multiclass non-linearly separable problems called Slicer. The system adopts a low computacional cost supervised learning strategy (evaluated as ) ... -
Auxílio ao diagnóstico automático do esôfago de Barrett utilizando aprendizado de máquina
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 28/03/2022)Esophageal adenocarcinoma is an illness that is usually hard to detect at the early stages in the presence of Barrett's esohagus. The development of automatic evaluation systems of such illness may be very useful, thus ... -
Previsões de preço de criptomoedas utilizando algoritmos de Aprendizado de Máquina
(Universidade Federal de São Carlos, UFSCar, , Câmpus Sorocaba, 10/10/2023)Cryptourrencies are decentralized digital currencies created with the intent of replacing traditional forms of payment. Their high volatility is one of the aspects that causes distrust among investors. Artificial Intelligence ... -
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 ... -
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 ... -
Inductive logic programming applied for knowledge representation in computer music
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/07/2021)In Computer Music, the knowledge representation process is an essential element for the development of systems. Methods have been applied to provide the computer with the ability to generate conclusions based on previously ... -
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 ... -
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 ... -
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 ...