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Role Based Access Control (RBAC) has been an effective solution for decreasing the complexity of managing large numbers of users.
Combining hierarchical specification with hierarchical implementation plays a key role in decreasing the complexity of the verification of these systems.
Given another opportunity we would most likely use full-duplex transcievers, thus decreasing the complexity of our code and allowing for faster transmissions; full-duplex could also potentially make error correction easier by allowing us to monitor outbound messages in real time.
This approach, referred to as the hybrid element analysis (HEA) is based on decreasing the complexity of the finite element model with distance away from the impact zone based on the multiscale nature of the fabric architecture and the physics of the impact event.
Our outlined approach supports decreasing the complexity of systems, which facilitates the transformation of the models during the refinement of engineering process.
The transmission powers for the AEs are allocated to its serving users equally in this step for decreasing the complexity of the multi-dimensional joint resource allocations.
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Therefore, in order to decrease the complexity of the analysis and reduce cost, approximate method is an effective method.
In order to simplify the hardware implementation, a modified neuron model without nonlinear parts was given to decrease the complexity of the original model.
Numerical results show that the proposed method is able to decrease the complexity of the concerned problem and considerable saving in computational time.
All-zero-block (AZB) detection is an efficient tool to decrease the complexity of mode decision in HEVC coders in the sense of rate distortion optimization (RDO).
It is well known that in supervised learning, active learning could effectively decrease the complexity of training instances without obvious loss of the classification performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com