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To estimate the q-values, without neglecting the fact that the empirical null distribution may be different from the theoretical one [28], [29], the null distribution in the mixture model was itself modelized by the mixture of the K0 first components (K0≤K).
A quadratic mixture model was developed using RSM with interaction terms as shown by contour/3D plots.
Therefore, Gaussian mixture model was adopted to extract the mechanical properties of different components in the matrix synthesised by Y201 cells.
A phase mixture model was employed to simulate the deformation behavior of metallic materials covering a wide grain size range from micrometer to nanometer scale.
A mixture model was prepared to investigate the effect of rejuvenator on molecular interactions of saturate, aromatic, resin, and asphaltene (SARA) fractions in RAP binder.
A Gaussian mixture model was used to represent the bubble size PDF and its parameters were updated on-line and in real-time by a dedicated computer from sequentially incoming images.
The mixture model was used to simulate two phases for the purpose of examining flow features in the flow field plate in order to effectively guide the design of electrolysis cells.
By default, the mixture model was initialized with 20 components.
A statistical multiscale fragile watermarking approach based on a Gaussian mixture model was proposed in [6].
This work was based on a single fluid, but a mixture model was used to capture the slip velocity.
A mixture model was used to identify psychosocial classes that explain how race-specific differences in the relationship between drinking in early adulthood and occupational outcomes in mid-life operate.
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