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On Modeling Agent Behavior Change Through Multi-Typed Information Diffusion in Online Social Networks
Published 2025-01-01“…Therefore, this study introduces a computational model that combines subjective logic to represent opinion changes of individuals using multi-typed information and cumulative prospect theory to simulate individuals’ decision-making. …”
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302
Physical-layer security transmission method based on spatial modulation with finite alphabet inputs
Published 2015-02-01“…Addressing the problem of wireless physical layer security transmission for finite alphabet input systems,a spatial modulation secure transmission method is proposed.On the basis of information theory,the method utilizes the receive antenna indices of multiple-input multiple-output (MIMO) system to bear information,and randomizes the eavesdropper’s equivalent channel by switching the receive antennas,which can guarantee physical layer security transmission.First,the different receiving performances of the legitimate user and eavesdropper are analyzed in the spatial modulation secure transmission system.Second,the mutual information and secrecy mutual information of the transmission system are calculated,and two sufficient conditions that ensure positive secrecy mutual information are pointed out.Finally,an estimation algorithm of mutual information is provided.Moreover,the symmetry of finite alphabet set is exploited to decrease the computational complexity.Theoretical analysis and numerical simulation results verify the availability of the security transmission method.…”
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303
Online marketing campaigns’ aesthetics: Measuring the direct effect on customers’ decision-making
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304
The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction
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305
CFD for turbulence: from fundamentals to geophysics and astrophysics
Published 2022-12-01“…In this paper, we review the role of CFD in the study of turbulence through both direct numerical simulations and the resolution of statistical multi-scale theories. With a historical perspective, we will discuss the evolution of the numerical modeling of turbulence from the first numerical experiments as proposed by Orszag and Patterson [1] to complex geophysical and plasma simulations where body forces such as Coriolis, the buoyancy force, or the Lorentz force can introduce strong anisotropies. …”
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306
Minor Prime Factorization for n-D Polynomial Matrices over Arbitrary Coefficient Field
Published 2018-01-01“…Two tractable criterions are presented for the existence of minor prime factorization, which can be realized by programming and complexity computations. On the theory and application, we shall obtain some new and interesting results, giving some constructive computational methods for carrying out the minor prime factorization.…”
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307
Adaptive Differentiator-Based Predefined-Time Control for Nonlinear Systems Subject to Pure-Feedback Form and Unknown Disturbance
Published 2021-01-01“…An adaptive predefined-time controller is designed by introducing the finite-time differentiator which is used to decrease the computational complexity problem appeared in the traditional backstepping control. …”
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308
On Topological Analysis of Niobium (II) Oxide Network via Curve Fitting and Entropy Measures
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309
The Effect of Platform Data Quality on Tax Compliance in Digital Economy: A Multiagent Based Simulation
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310
A Flexible Polynomial Expansion Method for Response Analysis with Random Parameters
Published 2018-01-01“…The generalized Polynomial Chaos Expansion Method (gPCEM), which is a random uncertainty analysis method by employing the orthogonal polynomial bases from the Askey scheme to represent the random space, has been widely used in engineering applications due to its good performance in both computational efficiency and accuracy. But in gPCEM, a nonlinear transformation of random variables should always be used to adapt the generalized Polynomial Chaos theory for the analysis of random problems with complicated probability distributions, which may introduce nonlinearity in the procedure of random uncertainty propagation as well as leading to approximation errors on the probability distribution function (PDF) of random variables. …”
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311
Solutions to All-Colors Problem on Graph Cellular Automata
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312
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Stability Analysis of the Bat Algorithm Described as a Stochastic Discrete-Time State-Space System
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314
Topological Aspects of Molecular Networks: Crystal Cubic Carbons
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315
A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information
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316
Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain
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317
Controllability of Functional and Structural Brain Networks
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318
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AIRank: Author Impact Ranking through Positions in Collaboration Networks
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320
Twin Subgraphs and Core-Semiperiphery-Periphery Structures
Published 2018-01-01“…A standard approach to reduce the complexity of very large networks is to group together sets of nodes into clusters according to some criterion which reflects certain structural properties of the network. …”
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