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by
Mattfeld, Ryan Stephen, author.
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analyze pedometer algorithms under more natural conditions that occur during daily living where gaits are
by
Yin, Tianzhixi, author.
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methodologies to PMU data from October 2016 to May 2017. This work involves training machine learning algorithms
by
Tzoumas, Vasileios, author.
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algorithms terminate with the same running time as state-of-the-art algorithms for matroid
by
Guney, Metin G., author.
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more elaborate fitting algorithms for model based prediction and compensation of the bias drift to
by
Nakarmi, Ukash, author. (orcid)0000-0002-5351-3956
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-Nyquist data. Within this framework, many existing linear algorithms can be extended to kernel framework with
by
Wang, Chao, author. (orcid)0000-0003-4888-4565
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The algorithms proposed in both of the two parts are adaptive test plans which are deterministic
by
Gao, Min, author.
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the act of proving or disproving the correctness of intended algorithms underlying a system with
by
Luo, Tianqiong, author.
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algorithms and it has been shown to be a useful technique which can reduce peak traffic rates by encoding
by
Stender, Matthew George, author.
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-based algorithms subsequently to address the issues that are observed in the Kilombo simulation experiments.
by
Guo, Dalong, author.
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to design optimal algorithms to schedule the EV's operations.
by
Sengupta, Deepashree, author.
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analysis, and design of approximate circuits. The proposed analysis algorithms generate the distribution of
by
Chen, Fangzhou, author.
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algorithms that achieve the throughput-optimal rate selection. Under dynamic channel conditions, simulation

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