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作者:Anthia Matsakidou , Despina Papadopoulou , Nikolaos Nenadis ...
来源:[J].Talanta(IF 3.498), 2020
摘要:Abstract(#br)The generalized two-dimensional correlation spectroscopy (g2D-COR spectroscopy) analysis combined with its extended version Moving-window 2D-COR (MW-2D-COR) was performed on a set of kinetic ATR-FTIR spectral data. The former is a mathematical method that is app...
作者:Daming Zhou , Fei Gao , Elena Breaz ...
来源:[J].Energy(IF 3.651), 2017, Vol.138, pp.1175-1186Elsevier
摘要:... A novel approach using the moving window method is applied, in order to 1) train the developed models; 2) update the weight factors of each method and 3) further fuse the predicted results iteratively. In the proposed approach, both model-based and data-driven methods are sim...
作者:Min Shu , Jack J. Jiang , Malachi Willey
来源:[J].Journal of Voice(IF 1.55), 2016, Vol.30 (1), pp.5-10Elsevier
摘要:Summary(#br)Objective(#br)To investigate the effects of the moving window method on acoustic measures and discrimination ability between normal and disordered voices.(#br)Methods(#br)Fifty-three normal voices and 50 disordered voices were recruited. Three selection methods, the moving window...
作者:Guofeng Zhang , Lirong Yang , Mingkai Qu
来源:[J].Ecological Informatics(IF 1.961), 2015, Vol.30, pp.133-141Elsevier
摘要:... In this paper, a moving-window copula-based geostatistical method was proposed to assess the local spatial uncertainty of precipitation. By incorporating non-stationary, non-Gaussian, and distance-weighted spatial statistics, many geostatistical techniques can be regarded as...
作者:Jayaram Valluru , Piyush Lakhmani , Sachin C. Patwardhan ...
来源:[J].Journal of Process Control(IF 1.805), 2017Elsevier
摘要:... In this work, the moving window parameter estimator of Huang et al. [1] is recast as a moving window maximum likelihood (ML) estimator. The state can be estimated within the window using any recursive Bayesian estimator. It is assumed that, when the model parameters are perfe...
作者:Mustapha Ammiche , Abdelmalek Kouadri , Abderazak Bensmail
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2018, Vol.177, pp.100-113Elsevier
摘要:... In this paper, a Modified Moving Window DPCA (MMW-DPCA) with Fuzzy Logic Filter (FLF) is proposed to address the above issue. The developed monitoring scheme continually updates control limits throughout an obtained DPCA-based model. The adaptive thresholds are established by...
作者:Lie-Quan Lee , Arno Candel , Cho Ng ...
来源:[J].Journal of Computational Physics(IF 2.138), 2010, Vol.229 (24), pp.9235-9245Elsevier
摘要:Abstract(#br)A finite element moving window technique is developed to simulate the propagation of electromagnetic waves induced by the transit of a charged particle beam inside large and long structures. The window moving along with the beam in the computational domain adopts hig...
作者:Sumaporn Kasemsumran , Yi Ping Du , Katsuhiko Maruo ...
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2005, Vol.82 (1), pp.97-103Elsevier
摘要:Abstract(#br)The aim of this study is to develop optimum partial least squares (PLS) models for glucose quantifications in bovine serum samples and human skin by using near-infrared (NIR) spectroscopy and a chemometrics algorithm named searching combination moving window partial ...
作者:Naroo Kang , Sumaporn Kasemsumran , Young-Ah Woo ...
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2005, Vol.82 (1), pp.90-96Elsevier
摘要:... Moving window partial least squares regression (MWPLSR) method was applied to the NIR data to select informative regions for cholesterol, glucose and urea. Searching combination moving window partial least squares regression (SCMWPLSR) method was used to search for the o...
作者:Dennis Ridley , Pierre Ngnepieba
来源:[J].Computers & Industrial Engineering(IF 1.516), 2008, Vol.56 (1), pp.11-18Elsevier
摘要:Abstract(#br)The Univariate Moving Window Spectral method is extended to the Multivariate Moving Window Spectral method (MWS). This further mitigates the bias encountered in time series model parameter estimates, that otherwise results in multiple-period lead time forecast error ...

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