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Figure 1 Two-state Markov process for modeling the typical bursty nature of the impulse noise.
This chapter presents examples that demonstrate a tiered process for modeling rice in the US.
In this paper, we propose a process for modeling robots and optimizing their structure.
These criteria suggest the kinetic sorption process for modeling reactive transport of neptunium and uranium transport in both fracture and matrix.
To model the nonlinear nature of damage process, the paper proposes the use of non-homogeneous Poisson process for damage increments, which is in contrast with the common use of a renewal process for modeling the damage.
In this study, we describe a generalized birth-death process for modeling the fates of gene duplication.
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Finally, we suggested a process for modelling changes in BMI after a BMI record, which could allow researchers to impute BMI on the date of interest and avoid dropping large numbers without a recent measure from their analyses.
Systems involving fluid and particle dynamics dominate the processing industry and are, therefore, the most important class of processes for modeling.
Thus, a bi-dimensional birth and death process is required for modeling this system.
Understanding and modeling transpiration, and particularly genotypic differences in processes affecting transpiration is also key process for crop modeling.
Furthermore, we show that the regularization parameter can be optimized in a unified framework with the kernel, which leads to an automatic process for model selection.
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