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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.06.039
Abstract: Abstract Lots of efforts have been devoted to develop effective estimation methods for parametric and nonparametric longitudinal data models. Varying coefficient regression model has received a great deal of attention as an important tool for…
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Keywords:
longitudinal data;
effect time;
random effect;
model ... See more keywords
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Published in 2017 at "Tribology International"
DOI: 10.1016/j.triboint.2016.12.047
Abstract: Abstract A varying friction coefficient model between a rolling cylindrical element and a deformable flat surfaces is predicted. The flat surface is assumed to undergo plastic deformation while sliding under the cylindrical rolling element. Current…
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Keywords:
friction coefficient;
friction;
coefficient model;
model rolling ... See more keywords
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Published in 2020 at "Energy & Fuels"
DOI: 10.1021/acs.energyfuels.0c01689
Abstract: The nanopores in shale reservoirs have large internal surface areas, and many gas molecules are adsorbed on the surface, forming an adsorption layer. The adsorption layer is mobile due to surface d...
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Keywords:
gas;
considering adsorbed;
new slip;
model considering ... See more keywords
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Published in 2020 at "Optics express"
DOI: 10.1364/oe.390331
Abstract: When considering light scattering from a sphere, the ratios between the expansion coefficients of the scattered and the incident field in a spherical basis are known as the Mie coefficients. Generally, Mie coefficients depend on…
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Keywords:
mie coefficients;
mie coefficient;
model;
minimalist mie ... See more keywords
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Published in 2023 at "Entropy"
DOI: 10.3390/e25020230
Abstract: As spatial correlation and heterogeneity often coincide in the data, we propose a spatial single-index varying-coefficient model. For the model, in this paper, a robust variable selection method based on spline estimation and exponential squared…
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Keywords:
spatial single;
varying coefficient;
single index;
model ... See more keywords