Mostrando 10 resultados de: 12
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2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings(3)
Communications in Computer and Information Science(2)
IEEE Transactions on Geoscience and Remote Sensing(2)
Journal of Volcanology and Geothermal Research(2)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Área temáticas
Ciencias de la tierra(4)
Métodos informáticos especiales(3)
Ciencias de la computación(2)
Física aplicada(2)
Astronomía y ciencias afines(1)
Benchmarking Seismic-Based Feature Groups to Classify the Cotopaxi Volcanic Activity
ArticleAbstract: We systematically and comprehensively tested almost 100 feature groups in four commonly used automatPalabras claves:Feature relevance, feed-forward back-propagation (FFBP) neural network, k-nearest neighbors (kNN), Machine learning classifiers (MLCs), naive Bayes (NB), random forest (RF), Seismic Events Classification, volcano seismic events featuresAutores:Diego S. Benitez, Felipe Grijalva, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusA New volcanic seismic signal descriptor and its application to a data set from the cotopaxi volcano
ArticleAbstract: This article proposes a new volcano seismic signal descriptor for improving the area under the receiPalabras claves:Machine learning classifiers (MLCs), seismic event classification, seismic pattern generation, spectrogram based featuresAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusDeep-Learning for Volcanic Seismic Events Classification
Conference ObjectAbstract: In this work, we proposed a new method to classify long-period and volcano-tectonic spectrogram imagPalabras claves:Artificial Intelligence, deep-learning models, spectrogram images, volcanic seismic event classificationAutores:Aaron Salazar, Diego S. Benitez, Noel Perez, Rodrigo ArroyoFuentes:scopusCategorizing Volcanic Seismic Events with Unsupervised Learning
Conference ObjectAbstract: We explored three different clustering-based classifiers to categorize two different volcanic seismiPalabras claves:BFR, clustering methods, CURE, K-Means, unsupervised learning, volcanic seismic event categorizationAutores:Adrián Duque, Diego S. Benitez, Kevin González, Noel PerezFuentes:scopusExploring the unsupervised classification of seismic events of Cotopaxi volcano
ArticleAbstract: This paper explores the use of six different clustering-based methods to classify long-period and voPalabras claves:BFR, BIRCH, clustering methods, CURE, Expectation-maximization, K-Means, Spectral-clustering, unsupervised learning, volcanic seismic event classificationAutores:Adrián Duque, Diego S. Benitez, Felipe Grijalva, Kevin González, Mario C. Ruiz, Noel Perez, Roman Lara-CuevaFuentes:scopusESeismic-GAN: A Generative Model for Seismic Events from Cotopaxi Volcano
ArticleAbstract: With the growing ability to collect large volumes of volcano seismic data, the detection and labelinPalabras claves:Adversarial learning, Cotopaxi, generative adversarial networks (GANs), Generative model, Seismic, volcanoAutores:Diego S. Benitez, Felipe Grijalva, Mario C. Ruiz, Noel Perez, Roman Lara-Cueva, Washington RamosFuentes:scopusESeismic: Towards an Ecuadorian volcano seismic repository
ArticleAbstract: In this work, we present the development, description, and performance evaluation of two volcano seiPalabras claves:Seismic benchmark dataset, Seismic signal dataset, Volcano seismic repositoryAutores:Diego S. Benitez, Felipe Grijalva, Jorge Aguilar, Mario C. Ruiz, Noel Perez, Roman Lara-CuevaFuentes:googlescopusTracking Hammerhead Sharks with Deep Learning
Conference ObjectAbstract: In this study, we propose a new automated method based on deep convolutional neural networks to detePalabras claves:deep convolutional neural network, hammerhead shark detection and tracking, Real-time detector, YOLOv3 architectureAutores:Alex R. Hearn, Alvaro Peña, Diego S. Benitez, Noel PerezFuentes:googlescopusUnderstanding the Cotopaxi Volcano Activity with Clustering-Based Approaches
Conference ObjectAbstract: We explored four different clustering-based classifiers to categorize two different volcanic seismicPalabras claves:Agglomerative, BFR, clustering methods, CURE, K-Means, unsupervised learning, volcanic seismic event categorizationAutores:Adrián Duque, Diego S. Benitez, Kevin González, Noel PerezFuentes:scopusSeismic Event Classification Using Spectrograms and Deep Neural Nets
Conference ObjectAbstract: In this work, we proposed a new method to classify long-period and volcano-tectonic spectrogram imagPalabras claves:Artificial Intelligence, deep-learning models, spectrogram images, volcanic seismic event classificationAutores:Aaron Salazar, Diego S. Benitez, Noel Perez, Rodrigo ArroyoFuentes:scopus