Results 11 to 20 of about 647,893 (263)
Connection Science, 2022 The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we proposed the modified exponentially weighted moving average - moving average control chart (MMEM), a new mixed control chart for observing ...
Khanittha Talordphop +2 more
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Evaluations of a Weighted Average of Gauss Sums
Journal of Mathematics, 2021 In this paper, we perform a further investigation for a weighted average of Gauss sums. By making use of some properties of the cotangent function and the Bernoulli polynomials, we explicitly evaluate the weighted average of Gauss sums in terms of the ...
Wen-Kai Shao, Yuan He
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Reducing Susceptibility Distortion Related Image Blurring in Diffusion MRI EPI Data
Frontiers in Neuroscience, 2021 Diffusion magnetic resonance imaging (MRI) is an increasingly popular technique in basic and clinical neuroscience. One promising application is to combine diffusion MRI with myelin maps from complementary MRI techniques such as multi-parameter mapping ...
Ian A. Clark +6 more
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Remote Sensing, 2022 In this paper, a novel and simple statistical prediction model for sea surface multivariate is developed based on extended empirical orthogonal functions (referred to as the MEEOF model).
Qi Shao +9 more
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Sensors, 2022 Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use cases, from robotics to assistive technologies.
Anbang Yang +7 more
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Exponentially weighted moving average-Moving average charts for monitoring the process mean.
PLoS ONE, 2020 This research aimed to propose a newly-mixed control chart called the Exponentially Weighted Moving Average-Moving Average Chart (EWMA-MA) to detect the mean change in a process underlying symmetric and asymmetric distributions.
Saowanit Sukparungsee +2 more
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Indonesian Journal of Applied Physics, 2023 Shear wave velocity is an important parameter in geotechnical engineering for studying liquefaction, finding bedrock for the basement of a building, and figuring out the presence of subsurface cavities.
Jamhir Safani +4 more
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Stochastic Weight Averaging Revisited
Applied Sciences, 2023 Averaging neural network weights sampled by a backbone stochastic gradient descent (SGD) is a simple-yet-effective approach to assist the backbone SGD in finding better optima, in terms of generalization. From a statistical perspective, weight-averaging contributes to variance reduction.
Hao Guo, Jiyong Jin, Bin Liu
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Attribute Value Weighted Average of One-Dependence Estimators
Entropy, 2017 Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, semi-naive Bayesian classifiers which utilize one-dependence estimators (ODEs) have been shown to be able to approximate the ground-truth ...
Liangjun Yu +3 more
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Slice weighted average regression
Advances in Data Analysis and Classification, 2023 Abstract It has previously been shown that ordinary least squares can be used to estimate the coefficients of the single-index model under only mild conditions. However, the estimator is non-robust leading to poor estimates for some models.
Masioti, Marina +3 more
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