Mostrando 10 resultados de: 38
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Advances in Intelligent Systems and Computing(4)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(3)
European Signal Processing Conference(3)
Communications in Computer and Information Science(2)
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Métodos informáticos especiales(24)
Ciencias de la computación(23)
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Automatic design of aperture filters using neural networks applied to ocular image segmentation
Conference ObjectAbstract: Aperture filters are image operators which combine mathematical morphology and pattern recognition tPalabras claves:Aperture filters, Ensemble of Classifiers, IMAGE PROCESSING, mathematical morphology, Neural networks, pattern recognitionAutores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusAutomatic design of binary W-operators using artificial feed-forward neural networks based on the weighted mean square error cost function
Conference ObjectAbstract: One of the main issues concerning automatic design of W-operators is the one of generalization. ConsPalabras claves:Artificial Neural Network, Nonlinear regression, pattern recognition, pyramidal multiresolution, W-operators, weighted mean square errorAutores:Ballarin V.L., Brun M., Marco E. Benalcázar, Meschino G., Passoni I., Pra L.Fuentes:googlescopusAn interactive system to improve cognitive abilities using electromyographic signals
Conference ObjectAbstract: This article presents a system for improving people's cognitive abilities using electromyography (EMPalabras claves:Hand-Gesture Recognition Mode, matlab, Serious Game, Support Vector Machine, Unity 3DAutores:Ángel Leonardo Valdivieso Caraguay, Freddy Benalcazar Palacios, Jaime R. Guilcapi, Lorena Isabel Barona López, Marco E. Benalcázar, Rubén Nogales, Xavier AguasFuentes:googlescopus2D semantic segmentation of the prostate gland in magnetic resonance images using convolutional neural networks
Conference ObjectAbstract: Convolutional Neural Networks is one of the most commonly used methods for automatic prostate segmenPalabras claves:Central Gland, convolutional neural networks, Encoder-Classifier, Encoder-Decoder, MRIs, NCI-ISBI 2013, Peripheral Zone, Prostate Segmentation, U-net, VGG16Autores:Marco E. Benalcázar, Silvia P. VacacelaFuentes:googlescopusA Brain-Computer Interface for Controlling IoT Devices using EEG Signals
Conference ObjectAbstract: Motor disability is the loss of the ability to move a limb of the body. Motor disabilities make diffPalabras claves:Bci, EEG, IOT, k-NNAutores:Kelvin Ortíz Chicaiza, Marco E. BenalcázarFuentes:scopusA Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach
Conference ObjectAbstract: Hand gesture recognition (HGR) based on electromyography (EMG) has been a research topic of great inPalabras claves:Electromyography, EMG, Experience replay, Hand gesture recognition, Q-Learning, reinforcement learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio J. Cruz, Patricio Javier Cruz Davalos, Robin AlvarezFuentes:googlescopusA Model for Real-Time Hand Gesture Recognition Using Electromyography (EMG), Covariances and Feed-Forward Artificial Neural Networks
Conference ObjectAbstract: Hand gesture recognition has many applications that require models to work in real time and with higPalabras claves:classification, EMG signals, Feed-forward neural networks, Hand gesture recognition, Myo ArmbandAutores:Anchundia V. C.E., Andrés Jaramillo-Yánez, José González, Marco E. Benalcázar, Marco Segura, Patricio ZambranoFuentes:scopusA New Methodology for Pattern Recognition Applied to Hand Gestures Recognition Using EMG. Analysis of Intrapersonal and Interpersonal Variability
Conference ObjectAbstract: Systems used for pattern recognition are usually divided into 4 stages: signal acquisition, preprocePalabras claves:EMG, Hand gesture recognition, intrapersonal and interpersonal variability, pattern recognitionAutores:Ángel Leonardo Valdivieso Caraguay, Javier Alejandro Ordóñez Flores, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio Javier Cruz Davalos, Robin Gerardo Alvarez RuedaFuentes:googlescopusA Novel Technique for Improving the Robustness to Sensor Rotation in Hand Gesture Recognition Using sEMG
Conference ObjectAbstract: Hand gesture recognition consists of identifying the class among a set of classes of a hand movementPalabras claves:Hand gesture recognition, SEMG, SVMAutores:Alex F. Oña, Marco E. Benalcázar, Patricio J. Cruz, Patricio Javier Cruz Davalos, Victor Hugo VimosFuentes:googlescopusA Survey on Hand Gesture Recognition Using Machine Learning and Infrared Information
Conference ObjectAbstract: The research consists in the hand gestures are movements that convey information and thus complementPalabras claves:Hand gesture recognition, Infrared information, Machine learning, Survey, Systematic literature reviewAutores:Marco E. Benalcázar, Rubén NogalesFuentes:googlescopus