Mostrando 8 resultados de: 8
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Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
European Signal Processing Conference(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Applied Sciences (Switzerland)(1)
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: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 user-specific hand gesture recognition model based on feed-forward neural networks, emgs, and correction of sensor orientation
ArticleAbstract: Hand gesture recognition systems have several applications including medicine and engineering. A gesPalabras claves:classification, Correction of rotation of EMG sensors, Electromyography, EMG, Feed-forward neural network, Hand gesture recognitionAutores:Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusMammogram classification using back-propagation neural networks and texture feature descriptors
Conference ObjectAbstract: Breast cancer has an important incidence in women worldwide. Early diagnosis of this illness plays aPalabras claves:Artificial Neural Network (ANN), Breast Cancer, classification, Cross validation, Gray level co-ocurrence matrix (GLCM), Mammography, pattern recognition, Texture analysisAutores:Conci A., Eduardo Tusa, Marco E. Benalcázar, María Perez, Wilmer Rivas AsanzaFuentes:scopusReal-time face detection using artificial neural networks
Conference ObjectAbstract: In this paper, we propose a model for face detection that works in both real-time and unstructured ePalabras claves:Feed-forward neural networks, Histograms of oriented gradients, Real-time face detectionAutores:Jonathan S. Talahua, Marco E. Benalcázar, Pablo S. Aulestia, Víctor Hugo AndaluzFuentes:googlescopusReal-time hand gesture recognition based on artificial feed-forward neural networks and EMG
Conference ObjectAbstract: In this paper, we propose a real-time hand gesture recognition model. This model is based on both aPalabras claves:Electromyography, Feature Extraction, Feed-forward neural networks, Hand gesture recognition, real-time, TIME SERIESAutores:Anchundia V. C.E., Andrés G. Jaramillo, Jonathan A. Zea, Marco E. Benalcázar, Marco Segura, Patricio ZambranoFuentes:scopusReal-time hand gesture recognition based on electromyographic signals and artificial neural networks
Conference ObjectAbstract: In this paper, we propose a hand gesture recognition model based on superficial electromyographic siPalabras claves:artificial neural networks, Electromyography, Hand gesture recognition, Machine learning, Signal processingAutores:Cristhian Motoche, Marco E. BenalcázarFuentes:scopus