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      by 
      Mattfeld, Ryan Stephen, author.
      Format: 
      Excerpt: 
      analyze pedometer algorithms under more natural conditions that occur during daily living where gaits are
      by 
      Yin, Tianzhixi, author.
      Format: 
      Excerpt: 
      methodologies to PMU data from October 2016 to May 2017. This work involves training machine learning algorithms
      by 
      Tzoumas, Vasileios, author.
      Format: 
      Excerpt: 
      algorithms terminate with the same running time as state-of-the-art algorithms for matroid
      by 
      Nakarmi, Ukash, author. (orcid)0000-0002-5351-3956
      Format: 
      Excerpt: 
      -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
      Format: 
      Excerpt: 
      The algorithms proposed in both of the two parts are adaptive test plans which are deterministic
      by 
      Luo, Tianqiong, author.
      Format: 
      Excerpt: 
      algorithms and it has been shown to be a useful technique which can reduce peak traffic rates by encoding
      by 
      Stender, Matthew George, author.
      Format: 
      Excerpt: 
      -based algorithms subsequently to address the issues that are observed in the Kilombo simulation experiments.
      by 
      Chen, Fangzhou, author.
      Format: 
      Excerpt: 
      algorithms that achieve the throughput-optimal rate selection. Under dynamic channel conditions, simulation