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The advantages of the algorithm designed for the special temporal condition of instant edges and zero latency are mainly practical.
The main advantages of the algorithm are the fast speed, and the fact that it is not influenced by CT saturation and fault path resistance.
Illustrating the advantages of the algorithm MAR-MinSC-OneClass for distinctly generating rules in each equivalence class ({mathrm{AR}}_{supseteq {L}_0,supseteq {R}_0 }^* {L,S}))).
Additional advantages of the algorithm are that convergence is fast, and that it can be easily (and efficiently) implemented using popular software packages for numerical analysis.
The main advantages of the algorithm are threshold-freedom and independence from LIDAR data format and resolution, while preserving object and terrain details.
The main advantages of the algorithm are dynamically adjustable population size, combination of local with global search, defined convergence criterion, and the capability of maintaining stable local optimum solutions [296].
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In this work we gave a detailed summary of these methods and showed the shortcomings and advantages of the algorithms proposed in the literature.
Another advantage of the algorithm is the low computational complexity.
Experiments and studies represent the advantage of the algorithm to traditional interactive genetic algorithms.
The major advantage of the algorithm lies in its constant false alarm rate.
The computational results show the potential benefits of the model and the advantage of the algorithm.
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