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The goal policies describe the high-level management directives needed to guide the network to achieve the previous utility functions.
In this study, from a disequilibrium flow evolution perspective, we design toll sequence operations (TS-operations) to guide the network flow to evolve towards the traditional Wardrop user equilibrium (UE) flow pattern.
Nonetheless they are less performant than supervised methods partly because the loss function used in unsupervised methods, for instance Euclidean loss, failed to guide the network to learn discriminative features and ignore unnecessary details.
Extensive simulations indicate that the protocol is able to guide the network to a stable equilibrium which is characterized by max min fairness, high-utilization, small queue sizes and no observable packet drops.
The new synthesis method aims to systematically generate many candidate networks and, through the use of more detailed individual heat exchanger designs and their evaluation over all periods, guide the network optimisation to more realistic designs.
To this end, the analysis of wireless link reliability and channel characterizations can help network designers to foresee the performance of the deployed WSN for specific smart grid propagation environments, and guide the network engineers to make design decisions for the channel modulation, encoding schemes, output power, and frequency band.
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MINER relies on human intervention to guide the network-building process and as such cannot be evaluated in comparison to fully automated "one-shot" network inference algorithms.
He produced the second presidential debate between John F. Kennedy and Richard Nixon in 1960, guided the network's TV coverage of several..
TCF helped conceive the idea, was instrumental in organizing the collection of the data, guided the network analysis of the data and was a primary author of the paper.
The present study uses three heterogeneous data sources to compile an exhaustive list of prior knowledge which is softly integrated into the modelling approach and thus guides the network prediction to a knowledge assisted solution.
Graphlet degrees are successfully used for measuring the distance between two networks (Pržulj, 2007), as well as measuring the topological similarities among nodes in networks (Milenković and Pržulj, 2008), which are further applied for guiding the network alignment process in the GRAAL family of network aligners, and for comparing protein structures (Malod-Dognin and Pržulj, 2014).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com