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The literature contains a number of approaches to efficiently solving the challenges of media cloud requests mapping.
Based on this characterization, we propose two different approaches to efficiently reconstruct any number of statistically equivalent microstructure samples.
We propose here to exploit the complementarity of these approaches to efficiently share structured and heterogeneous data distributed through a large set of nodes.
With spatially periodic refractive index, the PC structure is one of the most promising approaches to efficiently reduce the loss caused by the total internal reflection at the interface of the GaN and the air [3-7].
This has resulted in a multitude of approaches to efficiently model, parametrize, and estimate even complex linear systems, such as the acoustic echo paths in hands-free wideband telecommunication scenarios [2].
Given the existence of large graphs in many real applications including the web, online social networks, RDF, etc., there is a need to find new approaches to efficiently process such large graphs.
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This study launched an innovative approach to efficiently and economically produce R-HA.
We present a grid partition approach to efficiently compute facility influence over dynamic vehicles.
This technology is the most promising approach to efficiently remove fine particulate matter.
Therefore, SCM represented as a great promising approach to efficiently load and controllably release antineoplastic drugs.
In this paper, an approach to efficiently model the spatial and temporal temperature evolution is presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com