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Mostrando ítems 91-100 de 590
Classificação contextual de imagens por meio de redes neurais convolucionais de grafos e poda por similaridade
(Universidade Tecnológica Federal do ParanáCornelio ProcopioBrasilPrograma de Pós-Graduação em InformáticaUTFPR, 2022-02-24)
Computer vision techniques have become popular in the technology industry. This success is derived from advances in computational resources and the generation of complex data. In this way, the use of resources such as ...
Aprendizado não-supervisionado de características para detecção de conteúdo maliciosoUnsupervised learning features for malicious content detection
(Universidade Estadual Paulista (Unesp), 2016)
Sistema de reconhecimento de expressões faciais
(Universidade Tecnológica Federal do ParanáCuritibaBrasilEngenharia de ComputaçãoUTFPR, 2017-05-23)
Facial Expressions give out a lot of information on emotions and social interactions of individuals. Systems capable of detecting facial expressions could be used for an wide range of applications, such as: fatigue detection, ...
Pronóstico del precio del petróleo mediante redes neuronales artificialesOil price forecast using artificial neural networks
(Centro de Información TecnológicaGrupo de Manejo Eficiente de la Energía (GIMEL)La Serena, Chile, 2022)
Visual novelty detection for autonomous inspection robots
(InTechCuritiba, 2008-08)
The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has ...
Real-time automated visual inspection using mobile robots
(Curitiba, 2007-07)
We present a framework to perform novelty detection using visual input in which a mobile robot first learns a model of normality in its operating environment and later uses this to highlight uncommon visual features that ...
Sobre o modelo neural RuleNet e suas características simbólica e cooperativa.
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2004-05-28)
Machine learning is an area of Artificial Intelligence that deals with methods
and techniques for implementing automatic learning in computational systems.
This research work investigates a machine learning neural model ...
Reconhecimento e classificação de eletrocardiogramas utilizando inteligência artificial
(Universidade Tecnológica Federal do ParanáPato BrancoBrasilTecnologia em Análise e Desenvolvimento de SistemasUTFPR, 2020-07-06)
Early diagnosis is crucial for the treatment of heart disease, this can be a decisive factor in the recovery of a patient in these conditions. This process involves knowledge and experience of the professional responsible ...
Reconhecimento óptico de caracteres manuscritos usando redes neurais convolucionais
(Universidade Estadual Paulista (Unesp), 2018-11-14)
The human being by nature has a great capacity to recognize visual patterns with varying degrees of complexity - we are able to identify shapes, lines, curves, etc - and thus differentiating letters and digits from each ...