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67 articles for “Linear Prediction (LP)”
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Research ArticleOpen accessIn the abstractEstimation of C*-Integral in Thin T-Sections Subjected to Projection and Remote Loading Base on Elastic Stress Concentration FactorA.R. Gowhari-Anaraki, F. Djavanroodi, S. ShadlouThe finite element method has been used to predict the creep rupture parameter, C*-Integral of flat T-section bar subjected to loaded projection and remote loading with a crack or crack-like flaw introduced in the fillet (i.e., high stress) region of the component. In this study, a new dimensionless creeping crack configuration factor, Q* has been introduced. Power low creeping finite … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Monitoring Using Principal Component Analysis and Fuzzy Logic Application in Continuous Casting ProcessSalah Bouhouche, Malek Lahreche, Abdelkrim Moussaoui, Jürgen BastThis paper deals with non linear system monitoring, based on a combined use of Principal Components Analysis (PCA) and fuzzy logic to process and quality monitoring. PCA coupled to fuzzy logic was used to estimate the fault or defect according to the dynamic changes in the process inputs-outputs characterized by T2 Hoteling and Squared Prediction Error (SPE). Correlation between the … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 7,245 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,306 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordExplaining the Generalized Cross-Validation on Linear ModelsLucas Monteiro Chaves, Laerte Dias de Carvalho, Carlos José dos Reis, Devanil Jaques de SouzaCross-Validation is a model validation method widely used by the scientific community. The Generalized Cross-Validation (GCV) is an invariant version of the usual Cross-Validation method. This generalization was obtained using the non usual theory of circulant complex matrices. In this work we intend to give a clear and complete exposition concerning the linear algebra assumptions required by the theory. The … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 25 Oct 2019 · 10,455 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordStress Prediction in the Dynamic Compression Plate with Changing the Configuration of the Screw FixationBoonthum WongchaiProblem statement: Human femur fracture is one of the most frequent type of bone fractures. One of the widely used methods in an internal fixation is an application of the Dynamic Compression Plate (DCP). The configuration of the screw fixation plays a major role of the DCP stress. Approach: This research is proposed to investigate the stress distribution in the … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,620 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFatigue Life Prediction of Screw Blade in Screw Sand Washing Machine under Random Load with Gauss DistributionJie Gong, Yun-Fei Fu, Wen Xia et al.The purpose of this study is to present a new method for estimating the fatigue life of the screw blade in the screw sand washing machine. To ensure the accuracy of numerical simulation, the loading area and the value of load are determined by means of the theoretical analysis. To ascertain the location of the stress peak and stress range, … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 22 Dec 2016 · 8,010 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrediction of Sulfur Dioxide (SO2) Concentration Levels from the Mina Al-Fahal Refinery in Oman Using Artificial Neural NetworksSabah A. Abdul-Wahab, Saleh M. Al-AlawiIn this investigation, two Artificial Neural Network (ANN) models were applied for predicting ground-level sulfur dioxide (SO2) in the Sultanate of Oman in order to provide an early warning advisory for the protection of public health. The objective of the first model (Model I) was to use ANN to predict sulfur dioxide (SO2) levels at certain receptors from the Mina … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,391 accessesView PDFCite