Sentence examples for different precedence from inspiring English sources
Even after taking into account the differences in annotation caused by different precedence rules, the stop-gain annotations from VEP look more reliable than those from ANNOVAR.
Furthermore, the proposed approach is applied without any retuning for the two architectures using the same Fuzzy logic controller for both, with the only difference being in the setting of the target queue lengths for different precedence levels in Differentiated-Services.
For this reason, different precedence may exist.
Furthermore, the jobs handled by the algorithm introduced in this paper can have various structures characterized by different precedence relationships among the respective constituent tasks that are not considered in [11].
This is a result of the interaction of different annotation categories, different precedence rules and the fact (for this study) of reporting only one consequence for each variant.
However, these hypothesis needs further studies since it could also be just a consequence of the different precedence of the EST sequences used in this comparison, mostly from plantlets in F. vesca and from fruits in F. xananassa.
As an extension, this work proposes an effective queuing architecture that can handle both elastic and inelastic traffic flows and assign different dropping precedence for different priority of traffic.
The main advantage of the proposed approach is that it is an effective queuing architecture, which will handle both elastic and inelastic traffic flows and assign different dropping precedence for different priority of traffic.
His seven-year adventure will live long in the memories of those of us who shared in it and stands as an inspiring example of how exciting comedy can be when the new and different takes precedence over the proven.
NS-2[24] is used for simulation for proposed effective queuing architecture with different dropping precedence (EQADDP) technique.
We compare the core-assisted and edge-to-edge schemes, and we extend network tomography-based loss inference mechanisms to cope with different drop precedences in a QoS network.
