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Titlebook: Computational Science and Its Applications – ICCSA 2022; 22nd International C Osvaldo Gervasi,Beniamino Murgante,Bernady O. Apdu Conference

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A Modified SEIR Model: Stiffness Analysis and Application to the Diffusion of Fake Newsn a given population, to describe the diffusion of fake information on the web and the consequent truth re-affirmation. We describe the corresponding system of ordinary differential equations, giving a proper definition of the involved parameters and, through a local linearization of the system, we
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Anonymous Trajectory Method for Indoor Users for Privacy Protectionr it very important to maintain the privacy of their movements within buildings and not reveal their visit to a certain room/cell inside buildings. In this paper, we propose a cloaking diversity approach for moving entities in indoor spaces. This new privacy-assurance approach uses the cloaking conc
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MIAMI: MIxed Data Augmentation MIxtureto generate such complex data. The MDGMM explicitly handles the different data types and learns a continuous latent representation of the data that captures their dependence structure and can be exploited to conduct data augmentation. We test the ability of our method to simulate crossings of variab
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A Galerkin Approach for Fractional Delay Differential Equations Using Hybrid Chelyshkov Basis Functi equations. The Galerkin approach transforms the solution of fractional delay differential equations into a system of algebraic equations using the fractional operational matrix of integration for these hybrid functions. The suggested method’s accuracy and efficiency are demonstrated using numerical
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Dispersion Analysis of Smoothed Particle Hydrodynamics to Study Convergence and Numerical Phenomena ation, theoretical issues of SPH approximation, stability, and convergence are among the unsolved problems of computational mathematics. In this paper, we present the application of dispersion analysis to the SPH approximation of one-dimensional gas dynamics equations to study numerical phenomena th
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Algorithms for Design of Robust Stabilization Systemsse to design stabilization systems based on robust control that can ensure the required accuracy in difficult conditions of real operation. The main issue of the research is the development of numerical algorithms for designing robust stabilization systems assigned for control of inertial platforms
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