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The classification performance of the two methods is tested at varying sizes of training sets.
The methods is tested on one real-world application – the daily gas consumption prediction.
The efficiency of the two methods is tested in a driving cycle and compared with the conventional EGR controller.
In this example, the SINR performance of these methods is tested versus the number of training snapshots, and the optimal performance (OPT) is provided for comparison.
The efficiency of the developed heuristic methods is tested and confirmed with extensive scrutinies and benchmarks, based on many input scenarios and comparative assessments.
The proposed algorithm, along with two previous methods, is tested in terms of its scalability and accuracy in detecting and correcting error cells with different degrees of error skewness.
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Other methods being tested include cattle antibiotics, an industrial chemical, bacterial-killing viruses and friendly bacteria to displace the evil ones.
Several AIDS-prevention methods were tested in randomly selected schools, and the results were compared with those from schools that did not get the help.
Several calculation methods were tested.
These methods are tested on different games.
A variety of drilling methods were tested.
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