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We propose a new framework to study the performance of cellular networks using a fluid model and we derive from this model analytical formulas for interference, outage probability, and spatial outage probability.
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In the following, we perform extensive experiments to study the performance of our proposed facial color framework.
Moreover, for each type of model, a suitable mathematical framework has to be developed in order to study the performance and limitations of reverse engineering methods.
We experimentally study the performance of several specialized algorithms designed using the framework and implemented using MPI.
A framework is proposed for studying the performance of spatial similarity approaches in image databases (IDBs).
The framework is applied to study the design and implementation of a supplier performance measurement system in the banking industry.
This study presents a framework to evaluate the performance of rainfall-runoff models for the estimation of low flow at sites with limited streamflow data.
> We have developed a framework to assess the performance of various DNA copy number segmentation methods.
Results: We propose an information-theoretic framework to evaluate the performance of computational protein function prediction.
Moreover, Figs. 8, 9, 10, and 11 study the performance of our framework with respect to the amount of resources granted to VMs.
The proposed framework is a powerful tool to study performances of cellular networks, e.g., OFDMA systems (WiMAX, LTE).
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