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2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(2)
2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017(2)
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022(2)
IFAC-PapersOnLine(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
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Ciencias de la computación(10)
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Clustering of EEG occipital signals using k-means
Conference ObjectAbstract: Recent studies show that it is feasible to use electrical signals from Electro-encephalography (EEG)Palabras claves:Butterworth Filter, Clusterization, Direct Current Artifacts, Electro-encephalography, Fast fourier transform, Occipital Lobe, Signal PreprocessingAutores:Carlos A. Salazar, Carmen Vaca-Ruiz, Christian Sacarelo, Enrique Pelaez, Francis R. Loayza, Kerly Ochoa, Victor Asanza ArmijosFuentes:googlescopusComputer Viruses
Conference ObjectAbstract: This paper presents an overview of the main categories of malicious programs known as Trojan Horses,Palabras claves:Autores:Bowles J.B., Enrique PelaezFuentes:googlescopusAutomatic brain white matter hypertinsities segmentation using deep learning techniques
Conference ObjectAbstract: White Matter Hyperintensities (WMH) are lesions observed in the brain as bright regions in Fluid AttPalabras claves:Convolutional neural network, U-net, WMH SegmentationAutores:Enrique Pelaez, Fabricio Layedra, Francis R. Loayza, José ViteriFuentes:googlescopusA Pipeline for Segmenting and Classifying Brain Lesions Caused by Stroke: A Machine Learning Approach
Conference ObjectAbstract: Brain injuries caused by strokes are one of the leading causes of disability in the world. Current pPalabras claves:Artificial Intelligence, Brain injuries, Machine learning, strokeAutores:Alex Macas, Enrique Pelaez, Francis R. Loayza, Franco-Maldonado H., Roberto MenaFuentes:scopusA comparison of deep learning models for detecting COVID-19 in chest X-ray images
Conference ObjectAbstract: COVID-19 has spread around the world rapidly causing a pandemic. In this research, a set of Deep LeaPalabras claves:Convolutional neural network, covid-19, Machine learning, Transfer learning, X-Ray Image AnalysisAutores:Enrique Pelaez, Geancarlo Murillo, Ricardo Serrano, Washington B. CárdenasFuentes:scopusA deep learning model to screen for Corona Virus Disease (COVID-19) from X-ray chest images
Conference ObjectAbstract: The overwhelming situation in hospitals, both in countries considered as developed and in under-devePalabras claves:convolutional neural networks, covid-19, deep learning, X-Ray Image AnalysisAutores:Enrique Pelaez, Francis R. LoayzaFuentes:scopusDetection of Pathologies in X-Ray Chest Images using a Deep Convolutional Neural Network with Appropriate Data Augmentation Techniques
Conference ObjectAbstract: Current advances in trained Deep Learning models have allowed architectures, such as Convolutional NPalabras claves:Convolutional neural network, data augmentation, Data cleaning, deep learning, Pathology DetectionAutores:Enrique Pelaez, Federico X. Dominguez, Sebastián Quevedo-SacotoFuentes:googlescopusData Security--Bad code
ArticleAbstract: A tutorial on viruses, worms, bacteria, and other computer diseases is presented. It describes how ePalabras claves:Autores:Bowles J.B., Enrique PelaezFuentes:googlescopusAcquisition of knowledge in the process of musical composition based on artificial intelligence techniques
Conference ObjectAbstract:Palabras claves:Autores:Efraín Astudillo, Enrique Pelaez, Pedro LucasFuentes:scopusAffordable and secure electronic voting for university elections: The SAVE case study
Conference ObjectAbstract: Traditional electronic voting systems are designed with national elections in mind. However, there aPalabras claves:Autores:Enrique Pelaez, Xavier OchoaFuentes:googlescopus