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Journal of Traffic and Transportation Engineering (English ed. Online), 2017 Since AASHTO released the Mechanistic-Empirical Pavement Design Guide (MEPDG) for public review in 2004, many highway research agencies have performed sensitivity analyses using the prototype MEPDG design software.
Zhong Wu, Xiaoming Yang, Xiaohui Sun
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Accelerated Iterated Filtering
Austrian Journal of Statistics, 2023 Simulation-based inferences have attracted much attention in recent years, as the direct computation of the likelihood function in many real-world problems is difficult or even impossible.
Dao Nguyen
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Applying sequential Monte Carlo methods into a distributed hydrologic model: lagged particle filtering approach with regularization [PDF]
Hydrology and Earth System Sciences, 2011 Data assimilation techniques have received growing attention due to their capability to improve prediction. Among various data assimilation techniques, sequential Monte Carlo (SMC) methods, known as "particle filters", are a Bayesian learning process ...
S. J. Noh +3 more
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Study on the Effectiveness of Monte Carlo Filtering when Correcting Negative SEA Loss Factors [PDF]
Archives of Acoustics, 2023 The power injection method (PIM) is an experimental method used to identify the statistical energy analysis (SEA) parameters (called loss factors – LFs) of a vibroacoustic system. By definition, LFs are positive real numbers.
Paweł Nieradka, Andrzej Dobrucki
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Procedure to optimize the intercarrier spacing in superchannels impaired by the cascading of WSS-based ROADMs [PDF]
EPJ Web of Conferences, 2020 A new procedure is proposed to optimize the intercarrier spacing and wavelength selective switch (WSS) bandwidth for superchannels, using a Monte Carlo simulation.
Pereira Paulo J. +2 more
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Quickest attack detection in smart grid based on sequential Monte Carlo filtering
IET Smart Grid, 2020 Quick and accurate detection of cyber-attacks is key to the normal operation of the smart grid system. In this study, joint state estimation and sequential attack detection method for a given bus with grid frequency drift is proposed that utilises the ...
Leian Chen, Xiaodong Wang
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Two Stage Kalman Estimators with Probabilistically Weighted Average [PDF]
Engineering and Technology Journal, 2009 With spherical coordinate, the adaptive estimation using multiple model filtering isenhanced in this paper. The enhancement is achieved by using just two depended parallelKalman filters, instead of multiple models, with the probabilistically weighted ...
Hanady Abbas Jaber
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Statistical Inference for Partially Observed Markov Processes via the R Package pomp
Journal of Statistical Software, 2016 Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis.
Aaron A. King +2 more
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Multi-target Tracking Method Based on GM-PHD Filtering with Weight Constraint [PDF]
Jisuanji gongcheng, 2017 Concerning that the Gaussian Mixture Probability Hypothesis Density(GM-PHD) filter does not check one-to-one assumption and it is difficult to track crossing targets,an improved multi-target tracking method with weight constraint is proposed based on GM ...
ZHAO Yifeng
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Physical Review Research, 2022 The speedup of heavy numerical tasks by quantum computing is now actively investigated in various fields including data analysis in physics and astronomy. In this paper, we propose a quantum algorithm for matched filtering in gravitational wave (GW) data
Koichi Miyamoto +4 more
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