Results 11 to 20 of about 28,338 (117)
In this paper we discuss representations of charge particle densities in particle-in-cell simulations, analyze the sources and profiles of the intrinsic numerical noise, and present efficient methods for their removal.
Balša Terzić, Gabriele Bassi
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Adaptive independent sticky MCMC algorithms
Monte Carlo methods have become essential tools to solve complex Bayesian inference problems in different fields, such as computational statistics, machine learning, and statistical signal processing.
Luca Martino +3 more
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Yield-Constrained Optimization Design Using Polynomial Chaos for Microwave Filters
Yield optimization aims at finding microwave filter designs with high yield under fabrication tolerance. The electromagnetic (EM) simulation-based yield optimization methods are computationally expensive because a large number of EM simulations is ...
Zhen Zhang +4 more
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Monte Carlo Numerical Models for Nuclear Logging Applications [PDF]
Nuclear logging is one of most important logging services provided by many oil service companies. The main parameters of interest are formation porosity, bulk density, and natural radiation.
Fusheng Li, Xiaogang Han
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Development of a New Low-Energy Neutron Spectrometer Using a Position-Sensitive Proportional Counter: Examination of the Response Function Considering the Spectrometer Shield [PDF]
Background Boron neutron capture therapy (BNCT) is a potential radiation therapy for treating refractory cancers. Measuring the neutron energy spectrum is important to evaluate the biological effect of BNCT.
Yu Fujiwara +3 more
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In this article, a new collocation technique for numerical solution of Fredholm, Volterra and mixed Volterra-Fredholm integral equations of the second kind is introduced and also developed a numerical integration formula on the basis of linear Legendre ...
Muhammad Asif +3 more
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Novel Reliability Method Validation for Floating Wind Turbines
Wind turbines and associated parts are susceptible to cyclic stresses, including torque, bending, and longitudinal stress, and twisting moments. Therefore, research on the resilience of dynamic systems under such high loads is crucial for design and ...
Oleg Gaidai +3 more
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Improving the reliability of automotive perceptive sensors in degraded weather conditions, including fog, is an important issue for road safety and the development of automated driving.
Amine Ben-Daoued +2 more
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This paper introduces the Arctan exponential distribution, a novel two-parameter trigonometric distribution. Various statistical properties of the distribution are examined, including hazard rate functions, cumulative hazard rate functions, mean ...
Laxmi Prasad Sapkota +6 more
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A Semianalytical PDF of Downlink SINR for Femtocell Networks
This paper presents a derivation of the probability density function (PDF) of the signal-to-interference and noise ratio (SINR) for the downlink of a cell in multicellular networks.
Ki Won Sung +2 more
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