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Using this algorithm, we develop a prototype to prove the concept of efficiency.
Using this algorithm, we forecast the constraints on geosynchronous (GEO) debris orbits achievable with the planned Large Synoptic Survey Telescope (LSST).
Using this algorithm, we numerically compute the rate-region achievable with a SP-DKLT code for two examples of jointly Gaussian vector sources.
Using this algorithm, we can safeguard the original video as we can reverse the modification process if proper authorization can be established.
Using this algorithm, we obtained a classification accuracy of 77.88% using ELMs, which to our knowledge, is the best result reported for accent classification on the TIMIT dataset.
Using this algorithm we can obtain a retrieval performance of ≈97 98% that is comparable with the best of the existing methods (e.g., the dot-product distance).
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To use this algorithm, we needed a training sequence of sufficient length which represents channel behavior under normal circumstances, in our case, it was the channel state data gathered by the REM which are binary sequences.
To provide environmental health researchers a convenient way to use this algorithm, we developed weathermetrics, an R package that allows fast and easy calculation of heat index for weather data sets using the NWS's heat index algorithm (Anderson and Peng 2012).
Using this algorithm as a reference we then analyse search architectures that have been proposed for the incomplete information game of Bridge.
We therefore used this algorithm (which we refer to as DEGAS) in the rest of this paper.
We propose to use this algorithm, which we have implemented for the Poisson and negative binomial distributions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com