Mostrando 10 resultados de: 11
Filtros aplicados
Subtipo de publicación
Conference Object(11)
Área temáticas
Métodos informáticos especiales(5)
Ciencias de la computación(4)
Dirección general(4)
Física aplicada(2)
Otras ramas de la ingeniería(2)
A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry
Conference ObjectAbstract: This document presents a comparison of demand forecasting methods, with the aim of improving demandPalabras claves:Classical methods, Demand forecasting methods, Forecast error, Machine learning, TEXTILE INDUSTRYAutores:Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusA Forecasting Model to Pbkp_redict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios
Conference ObjectAbstract: Ecuador is worldwide considered as one of the main natural flower producers and exporters –being rosPalabras claves:Bayesian-Networks-based forecasting, Demand Forecast, Floriculture sector, Neural-Networks-based forecastingAutores:Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusDevelopments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusDemand Forecasting for Textile Products Using Statistical Analysis and Machine Learning Algorithms
Conference ObjectAbstract: The generation of an accurate forecast model to estimate the future demand for textile products thatPalabras claves:artificial neural networks, Demand Forecasting, Machine learning algorithms, Statistical Analysis, Temporal hierarchies, Textile productsAutores:Alemany M.M.E., Araujo R.A., Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-LeyvaFuentes:scopusArtificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study
Conference ObjectAbstract: This paper shows a neural networks-based demand forecasting model designed for a small manufacturerPalabras claves:artificial neural networks, Long-term demand forecasting, Small businessAutores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Iván García-Santillán, Jorge A. Caraguay-Procel, Joselyn A. Chicaiza-Ipiales, Leandro L. Lorente-LeyvaFuentes: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:scopusAlgorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Pbkp_redictive Models
Conference ObjectAbstract: This paper presents a comparative analysis of pbkp_redictive models applied to air quality estimatioPalabras claves:Air quality, contamination, forecasting, pbkp_redictive modelsAutores:Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Solé-Ribalta A., Torres D.M., Trilles-Oliver S.Fuentes:scopusDrowsiness Detection in Drivers Through Real-Time Image Processing of the Human Eye
Conference ObjectAbstract: At a global level, drowsiness is one of the main causes of road accidents causing frequent deaths anPalabras claves:Alarm, Artificial Intelligence, Drowsiness Detection, Human eye, IMAGE PROCESSINGAutores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Javier E. Revelo-Fuelagán, Jorge A. Caraguay-Procel, Leandro L. Lorente-Leyva, Pedro D. Granda-GudiñoFuentes:scopusOptimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm
Conference ObjectAbstract: In a competitive environment, an industry’s success is directly related to the level of optimizationPalabras claves:forecasting, Genetic Algorithm, Master Production Scheduling, Optimization, Production planning, TEXTILE INDUSTRYAutores:Diego Hernán Peluffo-Ordóñez, Erick P. Herrera-Granda, Israel D. Herrera-Granda, Jefferson R. Murillo-Valle, Leandro L. Lorente-Leyva, Paul D. Rosero-Montalvo, Xiomara P. Blanco-Valencia, Yakcleem Montero-SantosFuentes:scopusOptimization of the university transportation by contraction hierarchies method and clustering algorithms
Conference ObjectAbstract: This research work focuses on the study of different models of solution reflected in the literature,Palabras claves:Clustering algorithms, Contraction hierarchies, Free Software, K-Means, Optimization, University transportation, Vehicle routingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Jorge Luis Chicaiza-Vaca, Leandro L. Lorente-Leyva, Robert Valencia-Chapi, Yakcleem Montero-SantosFuentes:scopus