Mostrando 7 resultados de: 7
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings(1)
Advances in Intelligent Systems and Computing(1)
Communications in Computer and Information Science(1)
Data in Brief(1)
Comparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation
Conference ObjectAbstract: This work presents a comparative analysis between the linear combination of em-bedded spaces resultiPalabras claves:Artificial Intelligence, CMDS, Dimensionality reduction methods, Kernel, Kernel PCA, LE, LLEAutores:Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Salazar-Castro J.A.Fuentes:scopusComputational model of a two-stage microinverter with flyback active clamp and dual buck
Conference ObjectAbstract: This paper presents a computational model of a microinverter for a single-phase grid-connected photoPalabras claves:Dual-Buck, Flyback, Microinverter, Mppt, PhotovoltaicAutores:Bastidas-Rodriguez J.D., Bolanos-Navarrete M.A., Javier E. Revelo-Fuelagán, Osorio G.Fuentes:scopusA New Approach to Supervised Data Analysis in Embedded Systems Environments: A Case Study
Conference ObjectAbstract: Nowadays, the implementation of embedded systems with sensors for massive data collection has becomePalabras claves:Data Analysis, Embedded Systems, sensor dataAutores:Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Luis Suárez-Zambrano, Pamela E. Godoy-Trujillo, Paul D. Rosero-MontalvoFuentes:scopusA data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
OtherAbstract: In this article, we introduce a data set concerning electric-power consumption-related features regiPalabras claves:Electric power consumption, forecasting, Machine learning, smart Grid, Socio-demographic dataAutores:Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Jorge Parraga-Alava, Moncayo-Nacaza J.D., Paul D. Rosero-MontalvoFuentes:googlescopusAdaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors
Conference ObjectAbstract: When searching for better solutions that improve the medical diagnosis accuracy, Case-Based reasoninPalabras claves:Bayes, Case-based reasoning, classification, Parametric, probabilityAutores:A. E. Castro-Ospina, D. Bastidas Torres, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Leandro L. Lorente-Leyva, Miguel A. Becerra, Piñeros Rodriguez C., Xiomara P. Blanco-ValenciaFuentes:scopusGeneralized Low-Computational Cost Laplacian Eigenmaps
Conference ObjectAbstract: Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and maPalabras claves:Dimensionality reduction, Generalized methodology, Kernel approximations, Low-computational cost, multiple kernel learning, Spectral methodsAutores:Basante C., Castellanos-Dominguez G., Cruz-Cruz L.D., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Ortega C., Peña D.F., Salazar-Castro J.A., Xiomara P. Blanco-ValenciaFuentes:scopusMovement identification in emg signals using machine learning: A comparative study
Conference ObjectAbstract: The analysis of electromyographic (EMG) signals enables the development of important technologies foPalabras claves:ANN, EMG signals, Feature Extraction, Knn, ParzenAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.Fuentes:scopus