Mostrando 5 resultados de: 5
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IFAC-PapersOnLine(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
International Conference on Applied Electronics(1)
Proceedings - 2022 IEEE Future Networks World Forum, FNWF 2022(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:scopusComparison 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: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:scopusSSVEP-EEG signal classification based on emotiv EPOC BCI and raspberry pi
Conference ObjectAbstract: This work presents the experimental design for recording Electroencephalography (EEG) signals in 20Palabras claves:Brain computer interface, classification, Data acquisition, Machine learning, SSVEP-EEG, XGBoostAutores:Enrique Pelaez, Félix Rosales-Uribe, Francis R. Loayza, Hector Trivino-Gonzalez, Jamil Torres-Brunes, Karla Avilés-Mendoza, Raquel Tinoco-Egas, Ricardo Alfredo Cajo Diaz, Victor Asanza ArmijosFuentes:scopus