Mostrando 10 resultados de: 28
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2021 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2021 - Proceedings(3)
Communications in Computer and Information Science(3)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(3)
PLoS ONE(3)
2020 IEEE ANDESCON, ANDESCON 2020(2)
Área temáticas
Métodos informáticos especiales(12)
Ciencias de la computación(11)
Geología, hidrología, meteorología(8)
Ciencias de la tierra(7)
Física aplicada(6)
Classification of seismic signals using scalogram and wavelet based features
Conference ObjectAbstract: In this paper we propose a method to extract image-based features from the scalogram which representPalabras claves:Classifier, digital image processing, Energy Scalogram, Feature Extraction, Seismic signals, wavelet transformAutores:Diego S. Benitez, Julio A. Enriquez-Fustillos, Paúl Bernal Onate, Roman Lara-CuevaFuentes:googlescopusCoccinellidae Beetle Specimen Detection Using Convolutional Neural Networks
Conference ObjectAbstract: In this work, we propose a ladybird beetle detector based on a deep learning classifier and the weigPalabras claves:deep learning, fully convolutional neural network, heat map, Ladybird beetle detection, weighted Hausdorff distanceAutores:Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Giovanni M. Ramón-Cabrera, Mateo Vega, Noel PerezFuentes:scopusCombining Filter-Based Feature Selection Methods and Gaussian Mixture Model for the Classification of Seismic Events from Cotopaxi Volcano
ArticleAbstract: This paper proposes an exhaustive evaluation of five different filter-based feature selection methodPalabras claves:Feature selection methods, Gaussian mixture model (GMM) classifier, Redundancy analysis, Seismic Events ClassificationAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:googlescopusComparative analysis of automated classifiers applied to volcano event identification
Conference ObjectAbstract: The correct classification of several types of volcanic events can be used to determine the intrinsiPalabras claves:feature selection, Machine learning, signal classification, volcanic eventsAutores:Diego S. Benitez, Juan Francisco Morejon, Ricardo Carrera, Roman Lara-CuevaFuentes:googlescopusAutomatic identification of intestinal parasites in reptiles using microscopic stool images and convolutional neural networks
ArticleAbstract: Captive environments trigger the propagation and multiplication of parasites among different reptilePalabras claves:Autores:Alejandra Núñez, Bryan Núñez, Diego S. Benitez, Felipe Grijalva, Noel Perez, Parra C.Fuentes:scopusAutomatic ladybird beetle detection using deep-learning models
ArticleAbstract: Fast and accurate taxonomic identification of invasive trans-located ladybird beetle species is essePalabras claves:Autores:Coimbra M., Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Francisco Calderon, Giovanni M. Ramón-Cabrera, Jose Luis Rojo-Álvarez, Noel Perez, Pablo VenegasFuentes:scopusBuilding Machine Learning Models for Long-Period and Volcano-Tectonic Event Classification
Conference ObjectAbstract: The proper identification of several types of volcanic seismic events can be related to the intrinsiPalabras claves:Ensemble Classification Model, Machine learning classifiers, Seismic Events ClassificationAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusAn approach to automatic classification of Culicoides species by learning the wing morphology
ArticleAbstract: Fast and accurate identification of biting midges is crucial in the study of Culicoides-borne diseasPalabras claves:Autores:Augot D., Diego S. Benitez, Jose Luis Rojo-Álvarez, Juan Daniel Mosquera, Noel Perez, Pablo Venegas, SONIA ZAPATA MENAFuentes:scopusAnalyzing the Effect of Basic Data Augmentation for COVID-19 Detection through a Fractional Factorial Experimental Design
ArticleAbstract: The COVID-19 pandemic has created a worldwide healthcare crisis. Convolutional Neural Networks (CNNsPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Juan Jose Murillo, Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusA Deep Convolutional Autoencoder Architecture for Automatic Image Colorization
Conference ObjectAbstract: The inherent complexity of image colorization has motivated computer scientists towards the developmPalabras claves:cnn, deep convolutional autoencoder, Image colorization, VGGAutores:Daniel Riofrio, Diego S. Benitez, Maria G. Baldeon Calisto, Noel Perez, Ricardo Flores Moyano, Stefano CevallosFuentes:scopus