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Research ArticleOpen accessIn the abstractInvestigation of Sandwich Panel Under High Temperature Loading Using Finite Element AnalysisSajjad Sayyar Roudsari, Armaghan Shalbaftabar, Taher M. Abu-Lebdeh et al.Structural and nonstructural members are always encountered with extreme loading conditions. In case of nonstructural members, the failure happens much sooner due to lack of load capacity. The nonstructural elements are not designed for structural loading conditions. However, they might be impacted to other loading types such as fire. In recent years, the use of 3D panel is one of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 1 Jul 2020 · 7,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU AccelerationToto Haryanto, Adib Pratama, Heru Suhartanto et al.Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with … …Journal of Computer Science, Vol. 16, Issue 3 · 5 Mar 2020 · 9,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractCould Geometry Demystify Patterns of Earth Quakes and Aftershocks? An Answer is YesRamalingam ShanmugamIn this article, a pioneering (geometric) approach based on a new what is named here Glued Bivariate Poisson (GBP) distribution is constructed to demystify the 21st century incidences of earthquakes and their aftershocks. A warning risk index for an earthquake or an aftershock to occur is formulated and computed for each of the thirteen major tectonic plates. This article reports … …Current Research in Geoscience, Vol. 6, Issue 1 · 30 Apr 2016 · 7,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractProduct Moments of Sample Variances and Correlation for Variables with Bivariate Normal DistributionJuan Romero-PadillaA general result to obtain the product moments of two sample variances and the sample correlation when the data follow a bivariate normal distribution is derived; the result is expressed in terms of the hypergeometric function. As corollaries, two general equations are stated, one to obtain the moments of the correlation sample and one to obtain the moments of the … …Journal of Mathematics and Statistics, Vol. 12, Issue 1 · 15 Mar 2016 · 7,282 accessesView PDFCite