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A typical application of such networks is multimedia event monitoring.
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A notable application of such network simulation approaches is to test disconnection hypotheses by simulating lesions in large-scale network models and observing alterations of brain activity as a result of these lesions.
And one of the many applications of such networks would be for monitoring, medical and otherwise.
The evaluation of the performance of such networks in a novel kind of application is one focus of this work.
The application of such a network to synthetic and real data shows that the inverted acoustic impedance section was efficient.
The application of such a network of information, as is the case of this study, is thus necessary to extend the knowledge about the evolutionary fate of genes originated by duplication events.
Besides the fundamental scientific interest and relevance to drug and toxicology tests, we also visualize the possible applications of such engineered networks.
High spatiotemporal-resolution quantitative precipitation estimation (QPE) is one of the important applications of such a network.
It also emphasizes the practical public health and scientific applications of such a network.
Although many papers published in the last few years address the problem of supporting message dissemination in opportunistic networks, very little of them consider the problem of designing distributed applications capable of running in such networks.
Perspectives on the potential applications of such information for gene discovery, network engineering and genomics-enabled rice breeding are also discussed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com