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In this work, we focus on a parallel technique to reduce the execution time when the K-means is used to cluster large dataset.
In this project, we first propose a parallel technique to conduct the Monte Carlo simulation on the graphics processing unit (GPU) platform.
J. Holland in [47] showed how the evolutionary process can be applied to solve a wide variety of problems using a parallel technique that is now called the genetic algorithms [48].
Periapical radiographs were taken using a parallel technique.
Preoperative periapcal radiographs using a parallel technique were taken.
Straight projection intraoral PA were obtained with the digital imaging system Digora Optime (Soredex, Helsinki, Finland) using a parallel technique.
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A radiographic examination was performed using a paralleling technique with a device (Dentsply Rinn, Elgin, IL, USA) and a digital imaging software system (PiViewSTAR® (INFINITT, Korea)).
Note: whenever periapical radiographs are obtained, a paralleling technique should be used.
A novel parallel technique for Fourier Galerkin pseudo-spectral methods with applications to two-dimensional Navier Stokes equations and inviscid Boussinesq approximation equations is presented.
In addition to the previous version of the paper (Barnat et al., 2009) [1], we demonstrate how our new algorithm can be efficiently combined with a particular parallel technique for Partial Order Reduction and report on additional experiments.
Additionally, Kopf et al used a less parallel technique which might be more sensitive than our microarray approach.
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