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The evaluated methods are clustered considering the main steps of problem solving.
Among the evaluated methods, direct ELISA exhibited the highest accuracy in toxin detection.
The results indicate that the proposed method achieved the best performance among the evaluated methods, with overall accuracy 3 5% higher than the existing best-performing method.
After an exhaustive computational and statistical analysis we can conclude that the proposed method shows an excellent performance overcoming the rest of the evaluated methods in a comprehensive benchmark set of instances.
The results show that the proposed method performs best among the evaluated methods.
SW1PerS is shown to be the most shape-agnostic of the evaluated methods, and the only one to consis- tently classify damped signals as highly periodic.
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The computational time was however significantly longer for the evaluated method.
The evaluating method and progress were illustrated through one kind of advanced aerospace embedded computer's evaluation case.
Finally, the evaluating method is illustrated with a numerical example, which shows that final metric choices vary with different requirements.
The above results (correct and wrong assignments) capture the 'assignment accuracy' of each of the five evaluated methods.
Overall 40 samples were at least analyzed with each of the six evaluated methods.
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