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We use this bit matrix structure to model the pattern mining as a systolic array problem.
Previously, we introduced a state-based 2-dimensional continuous-time hidden Markov model (2D CT HMM) to model the pattern of detected glaucoma changes using structural and functional information simultaneously.
Since potential woody cover is suggested to be limited by water availability, a nonlinear 99th quantile regression was performed between the observed woody cover and mean annual precipitation (MAP) to model the pattern of potential woody cover.
Furthermore, the inclusion of the correlated effects among neighboring hospitals or areas may help to model the pattern of influenza spread.
An alternative is to model the pattern of exposure for each individual over time and then relate exposure features to the outcome.
The simulation, illustrated in Fig. 4, was constructed in Simul8 to model the pattern of visits, incorporating the travelling nurses' algorithm to allocate mothers to staff and to construct efficient routes while striving to provide continuity of care.
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We want to model the patterns of criminal incidents with these features and apply the model to predict the locations and times of future criminal incidents.
A series may have both auto regressive and moving average components so both types of correlations are required to model the patterns.
In biologically mega-diverse countries that are undergoing rapid human landscape transformation, it is important to understand and model the patterns of land cover change.
We calculated P for trend by modeling the pattern score as a continuous variable.
Modelling the patterns in the dusty wreckage leads the scientists to the conclusion that the collision probably occurred sometime in February or March 2009.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com