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Using our proposed algorithms, the obtained numerical results show that resource abstraction in general and network topology abstraction in particular can effectively hide details of the underlying infrastructure.
The scale parameter (widehat {b}_{k,l}) and the location parameter (widehat {mu }_{k,l}) of the distribution are estimated separately by using our proposed algorithms in Sections 4.1 and 4.2.
Once the system has been identified, according to the protocol used by this system, the baseband processing unit will start and estimation of the relevant metrics using our proposed algorithms in Sections 2 or 3. When the metrics are estimated, an interaction needs to be performed with the higher layers to decide whether to trigger a vertical handover or not.
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This provided us with 797 genes and PPI networks of 937 interactions available for analysis using our proposed algorithm.
Some examples are given by using our proposed algorithm.
Simulation results will show that the network throughput by using our proposed algorithm outperforms other algorithms.
Simulation results show the system throughput and outage probability improvement over other algorithms by using our proposed algorithm.
In addition, the packet loss rate can be restricted in a lowest range by using our proposed algorithm.
Fig. 7 Energy from power grid and average delay for different V values using our proposed algorithm.
The results of extensive experiments demonstrate that the maximum link utilization of a network can be optimized better using our proposed algorithm.
The proposed 3D face reconstruction required about 0.1 s per test image using our proposed algorithm based on an alternation methodology and about 3.6 s per test image using the algorithm based on a one-step methodology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com