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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(2)
2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(1)
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022(1)
Advances in Intelligent Systems and Computing(1)
IFAC-PapersOnLine(1)
Classification of subjects with parkinson's disease using finger tapping dataset
Conference ObjectAbstract: Parkinson's disease is the second most common neurodegenerative disorder and affects more than 7 milPalabras claves:classification, Finger Tapping, Machine learning, Parkinson's DiseaseAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Victor Asanza ArmijosFuentes:scopusClustering 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:googlescopusComparison of Traditional ML Algorithms for Energy Consumption Pbkp_rediction Models
Conference ObjectAbstract: Data centers consume a large amount of energy to meet the increasing demand for IT infrastructure anPalabras claves:Energy consumption, Machine learning, Pbkp_rediction models, Regression ModelsAutores:Daniel Alvarado, Danny Alfredo Torres Moran, Danny Torres, Irving Valeriano, Rebeca Leonor Estrada Pico, Victor Asanza ArmijosFuentes:googlescopusAnatomical Patterns Recognition of Impulse Control Disorders of Parkinsonian Patients Using Deep Learning of MRI structural images
Conference ObjectAbstract: In Parkinson's disease (PD) several neuropsychiatric conditions are highly frequent including impulsPalabras claves:deep learning, Impulsive Compulsive Disorders, MRI, PÁRKINSONAutores:Alexander Saravia, Enrique Pelaez, Francis R. Loayza, Jocellyn Luna, Obeso I., Victor Asanza ArmijosFuentes:googlescopusEEG signal clustering for motor and imaginary motor tasks on hands and feet
Conference ObjectAbstract: Modern technologies use Brain Computer Interfaces (BCI) to control devices or prosthesis for peoplePalabras claves:Brain computer interface, Butterworth Filter, DBscan, Direct Current Artifacts, electroencephalography, Fast fourier transform, hierarchical-clustering, k-medoids, kmeans, power spectral density, Spectral clusteringAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:googlescopusLearning-based Energy Consumption Pbkp_rediction
Conference ObjectAbstract: As more people send information to the cloud-fog infrastructure, this brings many problems to the maPalabras claves:Energy consumption, linear regression, MQTT, pbkp_rediction model, Sensor networkAutores:Adrian Bazurto, Danny Alfredo Torres Moran, Danny Torres, Irving Valeriano, Rebeca Leonor Estrada Pico, Victor Asanza ArmijosFuentes:googlescopusK-nn-based emg recognition for gestures communication with limited hardware resources
Conference ObjectAbstract: Analysis of Electromyographic signals (EMG) allows obtaining useful information to develop gesture rPalabras claves:Electromyography, Fpga, Hand gestures, k-NNAutores:Carlos Z. Cedeno, Jose Cordova-Garcia, Leonardo D. Muñoz, Ronald Ponguillo-Intriago, Victor Asanza ArmijosFuentes:googlescopusTrilateration-based Indoor Location using Supervised Learning Algorithms
Conference ObjectAbstract: The indoor positioning system (IPS) has a wide range of applications, due to the advantages it has oPalabras claves:Indoor positioning systems, Machine learning, Rssi, TrilateracionAutores:Carolina Ormaza, Diego Hernán Peluffo-Ordóñez, Jose Jerry Landívar Guartatanga, Juan C. Aviles, Verónica Ojeda, Victor Asanza ArmijosFuentes:googlescopusSupervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy
Conference ObjectAbstract: Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having freePalabras claves:Brain computer interface, Cerebral palsy, electroencephalography, Machine learning, motor intentionsAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:scopusBehavioral Signal Processing with Machine Learning Based on FPGA
Conference ObjectAbstract: This paper focuses on analyzing health problems derived from a sedentary lifestyle. Studies seekingPalabras claves:Behavioral Signal Processing (BSP), Edge computing, field-programmable gate array (FPGA), Machine Learning (ML), Neural Network (NN), Social Cognitive Theory (SCT)Autores:Enrique Pelaez, Galo Sanchez, Ricardo Alfredo Cajo Diaz, Victor Asanza ArmijosFuentes:googlescopus