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We improve previous solutions of the problem and offer an efficient nonasymptotic method for implementation of proportional differentiated admission control.
In the paper a general and direct method for implementation of influence lines in finite element software is provided.
The article improves previous solutions of the problem and offers an efficient nonasymptotic method for implementation of proportional differentiated admission control.
This multi-level hybrid approach therefore appears to offer an effective parallelization method for implementation of the MIT forward model on SMP clusters.
This study derives an optimized cyclic tree-structured perfect reconstruction-quadrature mirror filter (PR-QMF) bank for GOFDM transceiver and then introduces a novel method for implementation of the optimum filter bank in the frequency domain.
However, focusing on the improvement of the C-V model, our method use the local region information to replace the global region information and present an operator splitting method for implementation.
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Computational methods for implementation of this method have been described previously [10],[10],[10].
Hence, it is interesting to seek linear system identification methods for implementation on a standard micro-computer.
The experimental results validate that the SDMP is more effective than the other three manifold learning methods for implementation bearing fault diagnosis, and it is more robust when deal with noise interference signal.
Despite strong overall interest in One Health, country-, locand and project-level implementation remains limited, likely due to the lack of pragmatic and tested operational methods for implementation and metrics for evaluation.
However, the optimal methods for implementation and monitoring of such programmes are not straightforward.
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