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The uncertain natures of demands and replenishment lead times are incorporated into the model utilizing a queuing approach.
An analytical model utilizing a Fickian description of diffusion was developed to allow the prediction of drug release.
The through-the-thickness analysis is based on the model utilizing a beam on an elastic foundation.
In this section we propose to develop a ramp cosine cepstrum model utilizing a one-sided ACF (OSACF) of, which can be defined as (9).
Approximate optimal results from the TPTV model utilizing a linear approximation architecture under the TD framework can then be compared to this exact solution.
A cost model utilizing a variable scheme instead of fixed sampling lengths in a continuous flow process is studied in this research.
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It decides cluster allocation via a Gaussian Mixture Model utilizing an EM algorithm for parameter estimation and decides the optimal number of clusters via the Bayesian Information Criterion BICC).
In most application modes additional data acquisition such as CT scanning of the knee was necessary as a prerequisite for the generation of a mathematical 3-D model utilizing an iterative model-fitting approach.
The model utilizes a layover approach between ground penetrating radar (GPR) and infrared thermography (IR).
On the other hand, Projection Augmented Model utilized a physical model, which is projected with computer images.
The 3D model utilizes a finite differencing (FD) heat transfer algorithm, complemented with experimental boundary conditions.
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