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The performance of our proposed algorithm is evaluated by comparisons with seven other efficient algorithms in the literature.
The performance of the proposed algorithm is evaluated by comparisons with the existing state-of-the-art algorithms in the literature.
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Based on the test platform constructed the performance of the ES is evaluated by comparison.
The reliability of the proposed model is evaluated by comparison with the Tsonopoulos correlation.
The performance of each technique is evaluated by comparison of the mean extreme value to measured peak values.
The approach is evaluated by comparison to some explicit requirements for SoS hazard analysis, and by applying it to a case study.
Its applicability is evaluated by comparison with other literature models and it is used in the determination of thermodynamic solubility products.
The feasibility of the design for the Harbin system is evaluated by comparison with existing microprobe systems designed for high energy ions.
Furthermore, the effectiveness of the proposed solution is evaluated by comparison with a designed genetic algorithm on sets of various numerical examples.
The effectiveness of the proposed indices in drowsiness detection is evaluated by comparison with five indices originally proposed for multi-channel processing.
The preciseness of the FEA predictions is evaluated by comparison with experimental results collected from ten CFBT column specimens tested in a companion paper (Ye et al., 2016) [15].
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