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Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures
(2021-02-01)
This paper presents the potentiality of the use of extrapolation of a set of Auto-Regressive (AR) models to inspect a future damage sensitive indices based on changes in one-step-ahead prediction errors. The key idea is ...
Data-driven autoregressive model identification for structural health monitoring in anisotropic composite plates
(2019-01-01)
A simple data-driven AutoRegressive (AR) model may be used to assess a model to describe and to predict the time-series outputs of the PZT sensors receiving Lamb waves for different operating conditions in composite ...
Décomposition d’Images Fondée sur l’Analyse de la Régularité Locale: Application au Codage Hybride d’Image
(2016-07-01)
La représentation hybride d'image utilise conjointement la décomposition en ondelettes pour l'information structurée et la modélisation paramétrique pour les textures. Dans ce cadre, nous proposons un algorithme qui décompose ...
On liability dollarization: a simple model with domestic and foreign creditors
(Universidad de San Andrés. Departamento de Economía, 2005-02)
Horizontal mergers and promotional spending
(Universidad de San Andrés. Departamento de Economía, 2008)
Advocating better habitat use and selection models in bird ecology
(Sociedade Brasileira de Ornitologia, 2018-06)
Studies on habitat use and habitat selection represent a basic aspect of bird ecology, due to its importance in natural history, distribution, response to environmental changes, management and conservation. Basically, a ...
Modelos de séries temporais aplicados a dados de umidade relativa do ar
(Universidade Federal de Santa MariaBREngenharia de ProduçãoUFSMPrograma de Pós-Graduação em Engenharia de Produção, 2014-12-11)
Time series model have been used in many areas of knowledge and have become a current necessity for companies to survive in a globalized and competitive market, as well as climatic factors that have always been a concern ...
Explaining and Predicting Bank Failure in Argentina Using Duration Models
(Universidad de San Andrés. Departamento de Economía, 2000-04)
Piecewise Linear Models in Model Predictive Control
(Planta Piloto de Ingeniería Química, 2001-12)
In this paper an efficient algorithm for Nonlinear Model Predictive Control is presented. The nonlinear problem is written as a simple Quadratic Programming problem with constaints by using a Canonical Piecewise Linear ...