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Although we propose a probability sample method (cluster sampling), it is not adjusted for gender and age according to the participation of the Kuwaiti population; hence it may not entirely reflect the distribution of the whole population.
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To improve the selection probability, we propose a probability-based RANSAC approach described as follows.
As for reconstruction in use of fractal interpolation, we propose a probability-based method to speed up the fractal interpolation execution to a rate as high as triple or even ninefold of the regular.
Finally, it proposes a probability consequence diagram with continuous scales; providing, in some instances, an alternative to the risk matrix.
To address this problem, we proposed a probability model to analyze factors affecting two vital parameters of a hello scheme, namely HI and TI.
First, we proposed a probability density of the differences in starting times between speech and the corresponding gestures to align the two.
As an auxiliary work and a natural extension of BHCR, we then proposed a probability propagation scheme that incorporates EEG decoding insights to improve the CV system and a one-shot image database retrieval scheme.
The method is based on segmentation by color on the RGB-normalized space (ErEgEb) for generating regions of interest (ROIs), the classification of the type of signal using YCbCr and ErEgEb spaces to build a statistical template, where to remove the background has proposed a probability distribution function that models the color of the objects of interest and its background.
He proposed a probability theory, however.
It was proposed a probability sampling procedure, with poly-staged, stratified cluster sampling.
This study proposes a probability-based dispatch strategy for determining energy storage capacity with consideration of wind and load fluctuation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com