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Circulant singular value decomposition combined with a conventional neural network to improve the hake catches pbkp_rediction
Conference ObjectAbstract: This paper presents the one-step ahead forecasting of time series based on Singular Value DecompositPalabras claves:Autores:DIEGO GUILLERMO BARBA MAGGI, Lida Barba, Nibaldo RodríguezFuentes:googlescopusCombining multi-scalewavelet entropy and kernelized classification for bearing multi-fault diagnosis
ArticleAbstract: Discriminative feature extraction and rolling element bearing failure diagnostics are very importantPalabras claves:Kernel Extreme Learning Machine, Multi-scale entropy, Stationary Wavelet TransformAutores:Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo RodríguezFuentes:googlescopusA Novel Multilevel-SVD Method to Improve Multistep Ahead Forecasting in Traffic Accidents Domain
ArticleAbstract: Here is proposed a novel method for decomposing a nonstationary time series in components of low andPalabras claves:Autores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusFishery forecasting based on singular spectrum analysis combined with bivariate regression
Conference ObjectAbstract: The fishery of anchovy and sardine has a great importance in the economy of Chile; they are importanPalabras claves:Autores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusForecast of traffic accidents based on components extraction and an autoregressive neural network with levenberg-marquardt
Conference ObjectAbstract: In this paper is proposed an improved one-step-ahead strategy for traffic accidents and injured forePalabras claves:Autoregressive Neural Network, Levenberg-Marquardt, SINGULAR VALUE DECOMPOSITIONAutores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusMulti-resolution SVD, Linear Regression, and Extreme Learning Machine for Traffic Accidents Forecasting with Climatic Variable
Conference ObjectAbstract: The purpose of this work is to forecast variables related to traffic accidents in Ecuador since 2015Palabras claves:Extreme learning machine, forecasting, linear regression, Multiresolution singular value decomposition, traffic accidentsAutores:Ana Elizabeth Congacha, Lady Espinoza, Lida Barba, Nibaldo RodríguezFuentes:googlescopusMultiscale forecasting models
BookAbstract: This book presents two new decomposition methods to decompose a time series in intrinsic componentsPalabras claves:artificial neural networks, forecasting, Hankel matrix, Singular spectrum analysis, SINGULAR VALUE DECOMPOSITION, Stationary wavelet decomposition, TIME SERIESAutores:Lida BarbaFuentes:googlescopusGuinea pig for meat production: A systematic review of factors affecting the production, carcass and meat quality
ReviewAbstract: In developing countries, interest in guinea pig farming is growing exponentially because it providesPalabras claves:Carcass quality, guinea pigs, Meat production, Meat qualityAutores:A. Morales-delaNuez, Davinia Sánchez-Macías, Julio Palmay-Paredes, Lida BarbaFuentes:scopusHybrid models based on singular values and autoregressive methods for multistep ahead forecasting of traffic accidents
ArticleAbstract: The traffic accidents occurrence urges the intervention of researchers and society; the human lossesPalabras claves:Autores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusImproved forecasting of CO<inf>2</inf> emissions based on an ANN and multiresolution decomposition
Conference ObjectAbstract: The sustainability of the environment is a shared goal of the United Nations. In this context, the fPalabras claves:Artificial Neural Network, Carbon dioxide, forecasting, Multiresolution decomposition, Stationary Wavelet TransformAutores:Lida Barba, Nibaldo RodríguezFuentes:googlescopus