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2020 IEEE ANDESCON, ANDESCON 2020(3)
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A deep learning approach for automatic recognition of seismo-volcanic events at the Cotopaxi volcano
ArticleAbstract: The research for developing an automatic recognition system of volcanic microearthquakes have been aPalabras claves:convolutional neural networks, deep learning, Periodogram, Spectrogram, Volcanic microearthquakesAutores:Fernando Lara-Lara, JULIO CESAR LARCO BRAVO, Ricardo Carrera, Roman Lara-Cueva, RUBEN DARIO LEON VASQUEZ, Ruben LeónFuentes: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:googlescopusAutomated detection of diabetic retinopathy using SVM
Conference ObjectAbstract: Diabetic retinopathy is a common eye disease in diabetic patients and is the main cause of blindnessPalabras claves:Diabetic Retinopathy, digital image processing, Machine learning, SUPPORT VECTOR MACHINESAutores:Andres Gonzalez, Ricardo CarreraFuentes:scopusAutomatic Evaluation of Physiotherapy Activities Using Deep Learning Techniques
Conference ObjectAbstract: Physiotherapy activities are necessary in patients with physical disabilities or to restore their fuPalabras claves:Deep learning techniques, Exercise evaluation, motion sensors, Physiotherapy activitiesAutores:Bryan Hernández, Ricardo Carrera, Xavier ArequipaFuentes:scopusAnalysis of epileptic seizure predictions based on intracranial EEG records
Conference ObjectAbstract: Epilepsy affects to more than 50 million people in the world. This disease reduces the quality of liPalabras claves:Epilepsy, intracranial EEG, Machine learning, seizure pbkp_redictionAutores:Francisco Quinga, Ricardo CarreraFuentes:scopusDesign of support vector classifier for identifying the ignition phases of an electronic ballast HID-MH lamp
Conference ObjectAbstract: This paper presents the design and implementation of a multivariable support vector classifier withPalabras claves:Electronic Ballast, HID lamp, Ignition phase, Radial Basis Function kernel, Support Vector ClassifierAutores:Diego Gustavo Arcos Avilés, Oswaldo Alexander Ibarra Jácome, Paúl Ayala, Ricardo CarreraFuentes:googlescopusFailure Detection in Induction Motors Using Non-supervised Machine Learning Algorithms
Conference ObjectAbstract: Induction motors are widely used around the world in many industrial and commercial applications. EaPalabras claves:Failure detection, Induction Motors, Machine learning algorithms, Non-supervised learningAutores:David S. Toscano, Ricardo CarreraFuentes:scopusLPC-based Feature Coefficients for Voice Authentication Tasks
OtherAbstract: Voice authentication is a promising biometric technique based on extracting important information frPalabras claves:Autores:Ricardo CarreraFuentes:googleSource coding for text transmission using a deep neural network as a lossy compression stage
Conference ObjectAbstract: The continuous growth of traffic in the telecommunication networks has motivated the search for optiPalabras claves:Canonical Huffman Codes, source coding, Text Embedding Neural NetworksAutores:Fernando Lara-Lara, Jorge F. Arellano, Luis Topón, Miguel Castillo, Ricardo CarreraFuentes:googlescopusTarget detection using radar processors based on machine learning
Conference ObjectAbstract: Target detection is one of the most important applications of radar systems. However, the task of prPalabras claves:Oerlikon Skyguard radar, Radar clutter, Radar detection, Random decision forest, Recurrent neural networksAutores:Alexis F. Tinoco-S, Fernando Lara-Lara, Ortiz M., Ricardo Carrera, RUBEN DARIO LEON VASQUEZ, Ruben LeónFuentes:googlescopus