Results 1 to 10 of about 542,358 (217)
Mobile authentication of copy detection patterns
EURASIP Journal on Information Security, 2023 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
Mathematics, 2023 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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Journal of Mathematics, 2023 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
Mathematics, 2021 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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Machines, 2023 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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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice
Comptes Rendus. Géoscience, 2022 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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EURASIP Journal on Information Security, 2020 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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Computer Sciences & Mathematics Forum, 2023 In this paper, we propose a non-parametric estimator of the conditional hazard function weighted on the recursive kernel method given an explanatory variable taking values in a semi-metric space when the scalar response is censored.
Hadjer Kebir, Boubaker Mechab
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Information Bottleneck Classification in Extremely Distributed Systems
Entropy, 2020 We present a new decentralized classification system based on a distributed architecture. This system consists of distributed nodes, each possessing their own datasets and computing modules, along with a centralized server, which provides probes to ...
Denis Ullmann +5 more
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The distance spectrum of two new operations of graphs [PDF]
Transactions on Combinatorics, 2020 Let $G$ be a connected graph with vertex set $V(G)=\{v_1, v_2,\ldots,v_n\}$. The distance matrix $D=D(G)$ of $G$ is defined so that its $(i,j)$-entry is equal to the distance $d_G(v_i,v_j)$ between the vertices $v_i$ and $v_j$ of $G$. The eigenvalues
Zikai Tang +3 more
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