Existence and Stability of Almost Periodic Solution for a Stochastic Cellular Neural Network with External Perturbation by Hui Zhou, Zongfu Zhou, Wei Jiang

“…A class of stochastic cellular neural networks with external perturbation is investigated. …”
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Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach by MHD Nour Hindia, Faizan Qamar, Talib Abbas, Kaharudin Dimyati, Mohamad Sofian Abu Talip, Iraj Sadegh Amiri

“…In this article, we have analyzed a relay-based interference-limited network at millimeter wave frequency and proposed a Poisson point process–based model using a stochastic geometrical approach. The results for the proposed Poisson point process model have been evaluated in terms of success probability, network ergodic capacity, and outage probability, compared with the ideal grid model and conventional multiple-antenna ultra-dense network model. …”
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Existence of Square-Mean Almost Automorphic Solutions to Stochastic Functional Integrodifferential Equations in Hilbert Spaces by Lijie Li

“…The existence and uniqueness of square-mean almost automorphic mild solution to a stochastic functional integrodifferential equation is studied. …”
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Stability Analysis of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Time-Varying Delays by Chuangxia Huang, Xinsong Yang, Yigang He

“…This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays. …”
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Stability Analysis of the Bat Algorithm Described as a Stochastic Discrete-Time State-Space System by Janusz Piotr Paplinski

“…The equations describing the bat algorithm have the form of difference equations, and the algorithm can be treated as a stochastic discrete-time system. The behaviour of this system depends on its dynamic and preservation stability conditions. …”
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On Delay-Range-Dependent Stochastic Stability Conditions of Uncertain Neutral Delay Markovian Jump Systems by Xinghua Liu, Hongsheng Xi

“…The delay-range-dependent stochastic stability for uncertain neutral Markovian jump systems with interval time-varying delays is studied in this paper. …”
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PWR Containment Shielding Calculations with SCALE6.1 Using Hybrid Deterministic-Stochastic Methodology by Mario Matijević, Dubravko Pevec, Krešimir Trontl

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Necessary and sufficient conditions for global-in-time existence of solutions of ordinary, stochastic, and parabolic differential equations

“…<p>We derive necessary and sufficient conditions for global-in-time existence of solutions of ordinary differential, stochastic differential, and parabolic equations. The conditions are formulated in terms of complete Riemannian metrics on extended phase spaces (conditions with two-sided estimates) or in terms of derivatives of proper functions on extended phase spaces (conditions with one-sided estimates).…”
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Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients by Hui Yu, Minghui Song

“…The numerical methods in the current known literature require the stochastic differential equations (SDEs) driven by Poisson random measure satisfying the global Lipschitz condition and the linear growth condition. …”
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Deterministic and Stochastic Study for an Infected Computer Network Model Powered by a System of Antivirus Programs by Youness El Ansari, Ali El Myr, Lahcen Omari

“…The system is analyzed by using the stability theory of stochastic differential equations and the computer simulations. …”
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Successive spike times predicted by a stochastic neuronal model with a variable input signal by Giuseppe D'Onofrio, Enrica Pirozzi

“…Two different stochastic processes are used to model the evolution of the membrane voltage of a neuron exposed to a time-varying input signal. …”
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Estimating the Gerber-Shiu Function in a Compound Poisson Risk Model with Stochastic Premium Income by Yunyun Wang, Wenguang Yu, Yujuan Huang

“…In this paper, we consider the compound Poisson risk model with stochastic premium income. We propose a new estimation of Gerber-Shiu function by an efficient method: Fourier-cosine series expansion. …”
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Nonfragile Gain-Scheduled Control for Discrete-Time Stochastic Systems with Randomly Occurring Sensor Saturations by Wangyan Li, Guoliang Wei, Hamid Reza Karimi, Xiaohui Liu

“…This paper is devoted to tackling the control problem for a class of discrete-time stochastic systems with randomly occurring sensor saturations. …”
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Bounding the Inefficiency of the Multiclass, Multicriteria C-Logit Stochastic User Equilibrium in a Transportation Network by Lekai Yuan, Xi Zhang, Chaofeng Shi

“…We derive the exact inefficiency upper bounds of the multiclass C-Logit stochastic user equilibrium (CL-SUE) in a transportation network. …”
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Assessing the Impact of Land Degradation on Agricultural Output Using a Stochastic Frontier Production Function by Антон Сергеевич Строков

Subjects: “…land degradation, soil erosion, production functions in agriculture, stochastic frontier analysis…”
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Second-Order Semi-Discretized Schemes for Solving Stochastic Quenching Models on Arbitrary Spatial Grids by Nina Garcia-Montoya, Julienne Kabre, Jorge E. Macías-Díaz, Qin Sheng

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Stochastic 2D Incompressible Navier-Stokes Solver Using the Vorticity-Stream Function Formulation by Mohamed A. El-Beltagy, Mohamed I. Wafa

“…A two-dimensional stochastic solver for the incompressible Navier-Stokes equations is developed. …”
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Stochastic variational inference improves quantification of multiple timepoint arterial spin labelling perfusion MRI by Thomas F. Kirk, Thomas F. Kirk, Georgia G. Kenyon, Georgia G. Kenyon, Martin S. Craig, Martin S. Craig, Michael A. Chappell, Michael A. Chappell

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Convergence and Stability of the Split-Step θ-Milstein Method for Stochastic Delay Hopfield Neural Networks by Qian Guo, Wenwen Xie, Taketomo Mitsui

“…A new splitting method designed for the numerical solutions of stochastic delay Hopfield neural networks is introduced and analysed. …”
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Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module by Manuel González-Navarrete

“…We apply a convergence result from stochastic jump processes to deterministic trajectories and present a bifurcation analysis for the associated dynamical system. …”
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