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The performance of brazilian exports in the perspective of its major business partners: an analysis by the method of Auto-Regressive Vectors (VAR)O desempenho das exportações brasileiras na perspectiva dos seus principais parceiros comerciais: uma análise pelo método de Vetores Auto-Regressivos (VAR)
(Universidade Federal de Santa Maria, 2019)
Análise espacial da produção leiteira usando um modelo autoregressivo condicionalSpatial analysis of the dairy yield using a conditional autoregressive model
(Universidade Estadual de Londrina, 2019)
O uso de modelos auto regressivos para a classificação de indivíduos acometidos pela doença de ParkinsonThe use of auto regressive models for the classification of individuals affected by Parkinson's disease
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia Elétrica, 2020)
Weibull and generalised exponential overdispersion models with an application to ozone air pollution
(TAYLOR & FRANCIS LTDABINGDON, 2012)
We consider the problem of estimating the mean and variance of the time between occurrences of an event of interest (inter-occurrences times) where some forms of dependence between two consecutive time intervals are allowed. ...
Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes
(2008-09-22)
This paper discusses two pitch detection algorithms (PDA) for simple audio signals which are based on zero-cross rate (ZCR) and autocorrelation function (ACF). As it is well known, pitch detection methods based on ZCR and ...
Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes
(2008-09-22)
This paper discusses two pitch detection algorithms (PDA) for simple audio signals which are based on zero-cross rate (ZCR) and autocorrelation function (ACF). As it is well known, pitch detection methods based on ZCR and ...
Acurácia de previsões para vazão em redes: um comparativo entre ARIMA, GARCH e RNA
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2016)
Identification of dynamical systems through the structure of auto-regression with exogenous variable by decreasing gradient and least squares
(2021)
In this article was made the identification of dynamic systems of first and second order more common in electronics such as low and high pass filters of the first order, pass-band filter and direct current motor through ...
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
(Elsevier, 2020)
n this paper, we propose a novel support vector regression (SVR) approach for time series analysis. An efficient forward feature selection strategy has been designed for dealing with high-frequency time series with multiple ...