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To view the results in the light of these algorithmic characteristics, we here outline the most important differences between the applied algorithms.
The applied algorithms are based on analytical and simplified numerical methods.
Important parameters of these optimization approaches namely objective functions, design variables, constraints and the applied algorithms are highlighted.
The histogram of oriented gradients (HOG) algorithm is one of the most reliable and applied algorithms for this task.
Many of the applied algorithms employ random searches, which leads to production of different solutions in different program runs.
This HIL simulation demonstrates the performance of the integrated HIL simulator and the feasibility of the applied algorithms in a real-time environment.
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We applied Algorithm 4.1 for different values of the parameter (alpha > 1).
We applied Algorithm 4.1 to this finite state representation to identify social movement vulnerabilities.
The second applied algorithm used was aimed to define the most influential transcription factors.
The accuracy to differentiate multifocal from unifocal PCa depends on the applied algorithm.
Currently the most widely applied algorithm is part of BROAD Institute's Genome Analysis Toolkit (GATK) [ 44].
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