Results 61 to 70 of about 14,098 (299)
A Boolean sum interpolation for multivariate functions of bounded variation
Frontiers in Applied Mathematics and StatisticsThis paper deals with the approximation error of trigonometric interpolation for multivariate functions of bounded variation in the sense of Hardy-Krause.
Jürgen Prestin, Yevgeniya V. Semenova
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Computational Method for Global Sensitivity Analysis of Reactor Neutronic Parameters
Science and Technology of Nuclear Installations, 2012 The variance-based global sensitivity analysis technique is robust, has a wide range of applicability, and provides accurate sensitivity information for most models. However, it requires input variables to be statistically independent.
Bolade A. Adetula, Pavel M. Bokov
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Advanced Engineering Materials, EarlyView.This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
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Off-Grid sparse blind sensor calibration [PDF]
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018 Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal is sparse and has support only on the discretized grid points. Due to continuous nature of the signals, representing the signal on a discretized grid results in the off-grid problem.
Sedat Camlica +2 more
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Low Latency Detection of Sparse False Data Injections in Smart Grids
IEEE Access, 2018 We study low-latency detections of sparse false data injection attacks in power grids, where an adversary can maliciously manipulate power grid operations by modifying measurements at a small number of smart meters. When a power grid is under attack, the
Israel Akingeneye, Jingxian Wu
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Adaptive sparse-grid Gauss–Hermite filter [PDF]
Journal of Computational and Applied Mathematics, 2018 In this paper, a new nonlinear filter based on sparse-grid quadrature method has been proposed. The proposed filter is named as adaptive sparse-grid Gauss-Hermite filter (ASGHF). Ordinary sparse-grid technique treats all the dimensions equally, whereas the ASGHF assigns a fewer number of points along the dimensions with lower nonlinearity.
Abhinoy Kumar Singh +3 more
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Advanced Functional Materials, EarlyView.Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
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The direction of arrival estimation method based on gridless compressed sensing
上海师范大学学报. 自然科学版, 2020 Efficient direction of arrival(DOA) estimation for densely distributed targets was a difficult and hot spot in current high-precision positioning technology.There were many problems and issuesfor existing DOA estimation methods which were designed based ...
GU Xu, WEI Shuang, LI Li, SU Ying
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An efficient AIM for the scattering computation of the finite sparse array
Xibei Gongye Daxue Xuebao, 2021 Based on the traditional adaptive integral method(AIM), a fast method called array AIM is proposed to accelerate the scattering calculation of the finite periodic array and the sparse array. On one hand, this method could eliminate the idle grids through
ZHENG Mingxuan, ZHAO Huiling, LI Chuwei
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Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Advanced Functional Materials, EarlyView.Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
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