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In summary, the performance of the network does get impacted by the channel model and does degrade if the LOS disappears.
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The interference powers to the primary receivers are kept below a threshold to guarantee that the performance of the primary network does not degrade due to the secondary network.
The performance of ASModel demonstrates that the clustering of HsaPIPs network does benefit from the information in the HsaHPRD network to achieve the better complex prediction performance.
What can the networks do?
With regard to the general performance of the network, the inclusion of the decision tree does not adversely affect the performance of AODV for any performance parameter.
Thus only 20% of communication overhead is caused in the network which does not affect the performance of the network.
The PDR is reasonably good and does not affect the performance of the network.
The communication overhead does not affect the performance of the network.
In addition, the information of whether a particular relay retransmits or remains silent at the destination does not really improve the BER performance of the network.
When we used protein-based networks to compare the performance of the networks generated to networks that do not incorporate protein, we found that incorporating protein networks improves the AUC as well.
Table 2 shows the performance of the network compared with the performance achieved by human subjects and the PMSP96 model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com