Sentence examples for ordering of network from inspiring English sources

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The resilience-based component importance measures, and an algorithm to perform stochastic ordering of network components due to the uncertain nature of network disruptions, are illustrated with a 20 node, 30 link network example.

In [ 45, 46], the ordering of network switching and state transitions in context-sensitive PBNs are considered and its influence on the steady-state probability distributions is investigated.

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Note that in our scheme, we have inverted the order of network and channel coding, while doing soft decoding at the receiver.

On site, OVPF-IPGP maintains four types of ground-based real-time monitoring networks, namely (in order of network size): (i) seismic, (ii) geodetic (deformation), (iii) geochemical (gases), and (iv) imagery, including permanently installed visible and infrared cameras (Fig. 1c).

The proposed system is based on the best-effort delivery service in the form of UDP (the size of the UDP datagram is limited to 1,500 bytes), which does not guarantee reliability or the delivery order of network packets [33].

Note the relative paucity of 'continue' events in either responders or non-responders, indicating that treatment is associated with significant re-ordering of network structures regardless of therapeutic response even in non-responders.

This tool is based on a NetSAM R package to create modules by hierarchical ordering of the network in one dimension and visualizes high-throughput data according to a chosen track as a combination of barplots and heat maps.

12. Interestingly, a ecent study shows that gravitation seems to be necessary for the development of an ordered network of microtubuli (Papaseit et al., 2000).

This anomalous behaviour is attributed to a large contribution of dislocations to the measured Young's modulus and internal friction, due to the existence of an ordered network of partial dislocations in the β′1 martensitic phase.

Improvements on our technique might treat higher order features of network activity, such as unit-to-unit correlation and synchrony, as secondary control targets.

We point out that even during successful control, higher-order characteristics of network activity, such as how the activity spreads through the network following stimulus application, unit-to-unit firing correlations, and firing synchrony remain uncontrolled.

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