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Nonlinear analysis of the electroencephalogram in depth of anesthesia
(Revista Facultad de Ingenieria Universidad de Antioquia, 2015-02-09)
Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique. The objective of this work was to conduct a review ...
Archetypal temporal dynamics of arid and semi-arid rangelands
(Elsevier Science Inc., 2021-03)
The way in which temporal dynamics structure ecological systems under the influence of a changing environment has long interested ecologists. Tackling the hierarchical structure of complex temporal patterns is a necessary ...
Aplicação de SVM na classificação de falhas em rolamentos: uma comparação entre o domínio tempo e tempo-frequência
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia Mecânica - EMec, 2023-03-16)
In order to enhance the operational efficiency of mechanical components, predictive maintenance has emerged as a critical technique for detecting potential failures before they lead to severe consequences such as accidents, ...
Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
(Elsevier, 2010-04)
Hidden Markov models have been found very useful for a wide range of applications in machine learning and pattern recognition. The wavelet transform has emerged as a new tool for signal and image analysis. Learning models ...
Uma contribuição ao problema de detecção de ruídos impulsivos para power line communication
(Universidade Federal de Juiz de Fora (UFJF)BrasilFaculdade de EngenhariaPrograma de Pós-graduação em Engenharia ElétricaUFJF, 2017)
Automatic classification of prostate stromal tissue in histological images using Haralick descriptors and Local Binary Patterns
(2014)
In this paper we presente a classification system that uses a combination of texture features from stromal regions: Haralick features and Local Binary Patterns (LBP) in wavelet domain. The system has five steps for ...
Methodology of sequential classification of non-invasive multichannel biosignals, oriented to automatic diagnosis of dysphagia
(Instituto Tecnológico MetropolitanoFacultad de ingenieríasInstituto Tecnológico Metropolitano, 2019)
Swallowing is a complex process that involves sequential voluntary and involuntary muscle contractions. Malfunction of swallowing related muscles could lead to dysphagia. The Videofluoroscopic Swallowing Study is the current ...