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Exact(21)
We considered that a method performs significantly better than another one if its performance is significantly better with a P < 0.05 and the difference between the performance estimates of the two methods is larger than 1% of the lowest value.
It clearly shows that the proposed method performs significantly better compared to other methods as depicted in Table 14.
The proposed method performs significantly better compared to suboptimum only-antenna and only-user selection methods in the literature.
Also, a comparison of the proposed algorithm with existing methods is shown in Table 14, which shows that proposed method performs significantly well as compared to existing methods.
The proposed algorithm is also compared with an existing action recognition method in Table 14, which shows that the proposed method performs significantly better compared to other methods.
The iterative method performs significantly faster and can efficiently solve large-scale problems, which makes the competitive economy equilibrium model applicable in real-time spectrum management.
Similar(39)
The proposed method performed significantly better for all tests.
The Broselow tape and Mercy method performed significantly better and the PAWPER was most accurate overall.
When applied with long documents the method performed significantly better on the sentence than on the document level.
In the forced-choice grammaticality judgment tests, participants trained with the random training method performed significantly better than chance.
The Opportunistic method performed significantly better than all three other methods, with the lowest in the three setups showing a 350% improvement over the Concatenation method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com