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388 articles for “model structure”
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Research ArticleOpen accessEvery word in the titleA Novel Interconnect Structure for Elmore Delay Model with Resistance-Capacitance-Conductance SchemeUma Ramadass, Krishnappriya, Jebashini Ponnian, P. DhavachelvanIn this brief, we present a simple close-form delay estimate, based on first and second order moments that handle arbitrary voltages and conductance effects for a lumped and distributed line. This proposed model introduces a simple tractable delay formula by incorporating conductance (G) into Resistance, Capacitance (RC) network by preserving the characteristics of the Elmore delay model. The RCG model … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,054 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTHE EFFECT OF PRO-AND PREBIOTICS ON THE RHEOLOGICAL PROPERTIES OF THE MODEL OF STRUCTURED DISPERSE SYSTEMSNatalia Aleksandrovna Tarasenko, Irina Borisovna KrasinaThe aim of this work is to carry out comprehensive studies that would allow to justify theoretically and experimentally use of probiotic poly-specific concentrates Bifilact A and Bifilact D and bifidogenic fiber intake BeneoTMSynergy1 as high-performance synbiotic supplements. The selection of bifidogenic fibers for administration into uniform synbiotic systems is substantiated. Indicators of synbiotic systems consisting of Bifilact A or … …American Journal of Biochemistry and Biotechnology, Vol. 10, Issue 2 · 2 Jul 2014 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultivariate Option Pricing with Gaussian Mixture Distributions and Mixed CopulasJimbo Henri Claver, Tatanfack Emerson, Shu FelixRecently, it has been reported that the hypothesis proposed by the classical black scholes model to price multivariate options in finance were unrealistic, as such, several other methods have been introduced over the last decades including the copulas methods which uses copulas functions to model the dependence structure of underlying assets. However, the previous work did not take into account … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 3 Apr 2023 · 6,518 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Note on “The Homotopy Category is a Homotopy Category”Afework SolomonIn his paper with the title, “The Homotopy Category is a Homotopy Category”, Arne Strøm shows that the category Top of topo- logical spaces satisfies the axioms of an abstract homotopy category in the sense of Quillen. In this study, we show by examples that Quillen’s model structure on Top fails to capture some of the subtleties of classical homotopy … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 27 Aug 2019 · 6,943 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA COMPARISION OF VARIOUS EDGE DETECTION TECHNIQUES IN MOTION PICTURE FOR IDENTIFYING A SHARK FISHShrivakshan Gopal Thiruvangadan, Chelliah ChandrasekarThe significant feature of detecting the motion image objects in this study it try identify the shark fish videos by removing the Background of the image. The main method involved in the detecting from the background is the foreground detection of the image. There are many techniques which usually ignore the fact that the background images consist of different image … …Journal of Computer Science, Vol. 9, Issue 11 · 18 Sep 2013 · 6,697 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIsing Model for Conductive Percolation in Electrically Conductive Adhesives by Considering Random Arrangement of Conducting ParticlesMora, Sahrul Saehana, Euis Sustini et al.Problem statement: Thermodynamically, particles in composites will arrange in a way such that the Helmholtz free energy is minimized. However, even a single structure has the lowest free energy, it should not ignore the probability of other structures having larger energies to occur, although at small chances. Approach: All possible arrangements of particles in the composites, therefore, must be taken … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 30 May 2012 · 7,245 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDevelopment of Software Reliability Growth Models for Industrial Applications Using Fuzzy LogicSultan AljahdaliProblem statement: The utilization of Software Reliability Growth Models (SRGM) plays a major role in monitoring progress, accurately predicting the number of faults in the software during both development and testing processes; define the release date of a software product, helps in allocating resources and estimating the cost for software maintenance. This leads to achieving the required reliability level of … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,008 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModelling the Effect of Salinity on the Multivariate Distribution of a Water Quality IndexDaniela cocchi, Michele scagliariniSalinity is a tracer of water and nutrient flows and is employed in studies on coastal environment to establish the coastal or remote origins of pollutants and nutrients. The present article analyses the effects of salinity on the multivariate distribution of the Trophic Index TRIX. The approach taken is based on a multivariate nested model with salinity as an explicative … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 5,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing EmailsFahad GhabbanPhishing emails are becoming an increasingly popular type of cybercrime on the internet, affecting both businesses and individuals. The attackers generally use various methods to trick victims and extract personal information from them, such as bank details, home addresses, and account information. Many attempts have been proposed to tackle this issue by using filtering mechanisms or automated classification methods which … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDFCite