Results 1 to 10 of about 284,348 (246)
Mobile authentication of copy detection patterns
In the recent years, the copy detection patterns (CDP) attracted a lot of attention as a link between the physical and digital worlds, which is of great interest for the internet of things and brand protection applications.
Olga Taran +5 more
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Mathematical and Experimental Model of Neuronal Oscillator Based on Memristor-Based Nonlinearity
This article presents a mathematical and experimental model of a neuronal oscillator with memristor-based nonlinearity. The mathematical model describes the dynamics of an electronic circuit implementing the FitzHugh–Nagumo neuron model.
Ivan Kipelkin +6 more
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This study investigates the estimation of the regression function using the kernel method in the presence of missing at random responses, assuming spatial dependence, and complete observation of the functional regressor.
Fatimah Alshahrani +4 more
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Extreme Value Analysis for Mixture Models with Heavy-Tailed Impurity
This paper deals with the extreme value analysis for the triangular arrays which appear when some parameters of the mixture model vary as the number of observations grows.
Ekaterina Morozova, Vladimir Panov
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The problem of the prompt detection of early-stage hollow worn wheels in railway vehicles via on-board random vibration measurements under normal operation and varying speeds is investigated.
Nikolaos Kaliorakis +2 more
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Stochastic volatility and stochastic leverage [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Veraart, Almut, Veraart, Luitgard A. M.
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Stochastic Perron for Stochastic Target Problems [PDF]
In this paper, we adapt stochastic Perron's method to analyze a stochastic target problem with unbounded controls in a jump diffusion set-up. With this method, we construct a viscosity sub-solution and super-solution to the associated Hamiltonian-Jacobi-Bellman (HJB) equations.
Erhan Bayraktar, Jiaqi Li
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice
Groundwater flow depends on subsurface heterogeneity, which often calls for categorical fields to represent different geological facies. The knowledge about subsurface is however limited and often provided indirectly by state variables, such as hydraulic
Juda, Przemysław +2 more
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4 pages, 2 figures, submitting to ...
Ball, Robin +2 more
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In recent years, classification techniques based on deep neural networks (DNN) were widely used in many fields such as computer vision, natural language processing, and self-driving cars. However, the vulnerability of the DNN-based classification systems
Olga Taran +3 more
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