Sentence examples for classification since the from inspiring English sources

It is the first time Japan's nuclear regulator has deemed an incident serious enough to warrant an international classification since the country's triple disaster almost two and a half years ago.

For the UAH-DriveSet dataset, only the GPS-related features were used in the classification, since the sensors have different sampling frequencies and are not synchronized.

The superpixel-level classifier is directly affected by precision of pixel-level classification since the confidence of superpixel is calculated based on pixel classification results.

Before further discussion on this issue, we first need to distinguish the computational complexity of off-line analysis and online classification since the importance of these two computational complexities are not at the same level.

The ongoing revision of European building codes recommends the use of both V S30 and H 800 for site classification, since the "rock" sites are conventionally associated with V S30 values exceeding 800 m/s.

It should be noted that the measure of primary interest was how often listeners picked the same emotions for both versions of an utterance (one synthesised with linear approximations to parameter contours and one synthesised with actual contours) and not the actual accuracy of subjective classification since the aim of the listening tests was to validate the use of linear approximations.

In this case, it is reasonable to assume that the participants and experimenters were unaware of the group classification since this particular outcome was the result of a post hoc reallocation of participants according to the amount of training completed.

Cancellara, who has led the general classification since winning the opening prologue, retains the yellow jersey after narrowly avoiding the pile-up and safely crossing the line.

In addition, refinement of the SAMMs representing specific mutation mechanisms and increasing the number of MTMMs might also improve the tissue of origin classification, since maximizing the amount of contributory information should improve the prediction.

In addition, refinement of the SAMMs representing specific mutation mechanisms and increasing the number of MTMMs might also improve the tissue of origin classification, since maximizing the amount of contributory information should strengthen the prediction.

The last two wavelengths are associated with blue and green, respectively, and resulted in the high accuracy of the classification since four of the five organisms appeared blue/green when cultured on the appropriate medium.