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"They had to install brand new equipment in all systems for each network.
Separate LUR models were developed for each network.
They are randomly generated for each network devices.
For each network, we construct an orientation and prove that it is Pfaffian.
The solution is based on similar, but differing in detail, approaches for each network.
One virtual interface is created for each network definition in the VXDL request file.
For each network topology, the asymptotic mean square time synchronization error is calculated from (48).
These training pool splits were made randomly and independently for each network in the ensemble.
For each network, there is both a Monitor Host and Monitored Hosts.
The result of these surveys is a Mean Opinion Score (MOS) for each network condition.
These numbers are averaged over 100 iterations of each experiment for each network topology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com