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15 results for “Analytical Modelling”

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Research ArticleOpen accessIn the abstractSpecification of Dynamic Time Series Model with Volatile-Outlier Input SeriesT. A. Lasisi, D.K. Shangodoyin, O. O. Sangodoyin et al.Problem statement: This study considers the precision of the output series generated from aberrant input series in the context of the distribution of the dynamic estimate and also investigate relative merit of analyzing residuals with outliers for a volatility input dynamic model. Approach: The study developed a methodology for checking volatility at every time point and evaluates the influence of … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 1 Oct 2011 · 7,102 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacterization of the Fracture Toughness of the Concrete Mortars Exposed to Elevated TemperaturesS. Djaknoun, A. Ahmed Benyahia, E. OuedraogoThe main objective of this research was the characterisation of the fracture toughness of concrete mortars exposed to high temperatures by using notched specimens in three point bending tests. The specimens have different lengths and were heated at different temperatures ranging from room temperature up to 900°C. The experimental test results obtained are closed with those reported by the literature, … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 6,524 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Integrated Disease Progression Model to Analyze Electronic Health Records With Multimodal Datasets Using Deep Learning TechniquesThulaganyo Dimakatso, Venumadhav Kuthadi, Rajalakshmi Selvaraj, Othapile DinakenyaneIn contemporary clinical environments, precisely simulating the emergence of disease is an intricate task owing to heterogeneously derived data and variability in the record of diagnoses. The research presents a stable classification model that integrates image data with formalized patient data to track patterns in disease through various stages. The suggested approach combines a multi-stage analytical methodology that includes systematic … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,678 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Unified Approach for the Shear Buckling Design of Structural Glass Walls with Non-Ideal RestraintsChiara Bedon, Claudio AmadioIn this study, a unified design approach is assessed and proposed for the shear buckling verification of structural glass walls supported by non-ideal restraints. Based on the current trends of practice in buildings, the effect of (i) adhesive joints, (ii) metal frames with interposed adhesive joints or (iii) point mechanical connectors on the actual shear buckling behavior of the examined … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 1 · 22 Jan 2016 · 8,287 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,135 accessesView PDFCite