Exponential-Reproducing-Kernel-Based Sparse Sampling Method for Finite Rate of Innovation Signal with Arbitrary Pulse Echo Position
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-018-0903-8
Abstract: AbstractAn exponential reproducing kernel (ERK) has been applied to data sparse sampling for finite rate of innovation (FRI) signals with the characteristic of flexible parameter setting in contrast to other sampling kernels. However, the signal… read more here.
Keywords: sparse sampling; pulse echo; reproducing kernel; exponential reproducing ... See more keywords
A design of information granule-based under-sampling method in imbalanced data classification
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-05023-2
Abstract: In numerous real-world problems, we are faced with difficulties in learning from imbalanced data. The classification performance of a “standard” classifier (learning algorithm) is evidently hindered by the imbalanced distribution of data. The over-sampling and… read more here.
Keywords: information granules; information; imbalanced data; data classification ... See more keywords
A new sampling method in the Zagros forests using GIS (case study: Ilam forests of Iran)
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Forestry Research"
DOI: 10.1007/s11676-018-0781-8
Abstract: One of the basic parameters in forest management planning is detailed knowledge of growing stock, information collected by forest inventory. Sampling methods must be accurate, inexpensive, and be easy to implement in the field. This… read more here.
Keywords: zagros forests; study; method; new sampling ... See more keywords
An efficient evaluation of depletion uncertainty for a GBC-32 dry storage cask with PLUS7 fuel assemblies using the Monte Carlo uncertainty sampling method
Sign Up to like & getrecommendations! Published in 2017 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2017.07.020
Abstract: Abstract It is important to evaluate an accurate depletion uncertainty resulting from the limitation of a computer code on accuracy in nuclear depletion calculations from the viewpoint of burnup credit with axial burnup distributions. In… read more here.
Keywords: using monte; uncertainty; monte carlo; depletion uncertainty ... See more keywords
Uncertainty propagation analysis for control rod worth of PWR based on the statistical sampling method
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2019.107054
Abstract: Abstract Based on the idea of uncertainty propagation, global relative covariance matrices of few-group cross sections representing the uncertainties propagated from the basic nuclear data and manufacturing tolerance were built by using statistical method. Then… read more here.
Keywords: uncertainty propagation; control rod; uncertainty; sampling method ... See more keywords
Uncertainty comparison between ENDF/B-VIII.0 and ENDF/B-VII.1 for fast reactor BN-600 using high-precision sampling method
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2021.108457
Abstract: Abstract A method of using small samples to achieve high-precision related variable sequence sampling was proposed. This method mainly uses two techniques: Latin hypercube sampling method for normal distribution and transform the covariance between variables… read more here.
Keywords: high precision; viii endf; endf vii; endf viii ... See more keywords
A combined radial basis function and adaptive sequential sampling method for structural reliability analysis
Sign Up to like & getrecommendations! Published in 2021 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.08.042
Abstract: Abstract In this paper, according to the Kriging based reliability analysis method, an efficient sequential sampling method combined with radial basis function is proposed to reduce the modeling complexity of the surrogate model and eliminate… read more here.
Keywords: reliability; sampling method; reliability analysis; sequential sampling ... See more keywords
An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework
Sign Up to like & getrecommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2019.04.046
Abstract: Abstract Sparse polynomial chaos expansion has been widely used to tackle problems of function approximation in the field of uncertain quantification. The accuracy of PCE depends on how to construct the experimental design. Therefore, adaptive… read more here.
Keywords: chaos expansion; polynomial chaos; sparse bayesian; adaptive sampling ... See more keywords
Pyrolysis behavior of Asian lacquer film in the presence of carbon nanotubes with potential application as a new sampling method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Analytical and Applied Pyrolysis"
DOI: 10.1016/j.jaap.2019.104637
Abstract: Abstract This study aims to report the possibility of applying a sampling method using a carbon nanotube–based sampling tool for pyrolysis–gas chromatography/mass spectrometry (Py–GC/MS) to qualitative analysis of Asian lacquer. This sampling tool comprises multiwalled… read more here.
Keywords: lacquer; asian lacquer; sampling method; carbon ... See more keywords
Application of bootstrap re-sampling method in statistical measurement of sustainability
Sign Up to like & getrecommendations! Published in 2021 at "Socio-economic Planning Sciences"
DOI: 10.1016/j.seps.2020.100781
Abstract: Abstract Sustainability is of essential interest for many organizations and is defined as the ability to maintain existing resources at a certain rate or level when encountered with barriers. Factors affecting sustainability are categorized as… read more here.
Keywords: sustainability; application bootstrap; bootstrap sampling; sampling method ... See more keywords
Designing daily-life research combining experience sampling method with parallel data.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological medicine"
DOI: 10.1017/s0033291722002367
Abstract: BACKGROUND Ambulatory monitoring is gaining popularity in mental and somatic health care to capture an individual's wellbeing or treatment course in daily-life. Experience sampling method collects subjective time-series data of patients' experiences, behavior, and context.… read more here.
Keywords: parallel data; experience sampling; sampling method; daily life ... See more keywords