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This has implications on multi-user discrete resource allocation algorithms, as these can be designed to jointly optimize transmit power among users even in large-scale scenarios.
We present an extensive evaluation of EpiGraph in terms of its ability to simulate large-scale scenarios, as well as from a performance perspective.
The Simultaneous Localization And Mapping by an autonomous mobile robot known by its acronym SLAM is a computationally demanding process for medium and large-scale scenarios, in spite of the progress both in the algorithmic and hardware sides.
In our "universal wiki" engine architecture (UniWiki), on top of a reliable, inexpensive and consistent DHT-based storage, any number of front-ends can be added, ensuring both read and write scalability, as well as suitability for large-scale scenarios.
The energy saving potential is assessed then by the use of a new assessment method suitable for large-scale scenarios using the actual number of air-conditioned dwellings distributed among the 27 cases.
In this work we design a new computational strategy which may reduce significantly the computational load required by the stable spline estimator, thus extending its practical applicability also to large-scale scenarios.
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Our method and algorithm can also be implemented in the practical applications with large-scale scenario.
In our experimental evaluation, we want to compare DAC with state-of-art approaches in a realistic, large-scale scenario.
Further, the European Patent Office also conducted a large-scale scenario study into how the patent system may be transformed in the near future due to a variety of challenges, which included a scenario on cumulative technologies like SynBio European Patent Officee [2011]).
To validate our approach, we have performed experiments in a real large-scale scenario, a binary-labeled dataset with more than 4 billion records, 800 million distinct values in its categorical features and larger than 1.2 TB in storage.
It is estimated that 60% of fixed emissions occur at specific locations and in a large-scale scenario.
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CEO of Professional Science Editing for Scientists @ prosciediting.com