Sentence examples for Contaminated data from inspiring English sources

We use MRRMRR with | rLWS A | as the relevance measure and | r ~ ∗ | as the redundancy measure, because such choice turned out to provide the most reliable results for contaminated data in the study on contaminated data in Section 4.1.

Robust statistics offers tools that can reliably work with contaminated data.

As demonstrated, it can be applied to designed data sets and in the case of contaminated data, it allows proper conclusions.

As regards remotely sensed data, such as NDVI (Normalized Difference Vegetation Index) parameter, the presence of atmospherically contaminated data in the time series introduces some noise that may blur the change analysis.

Based on processing the same series of contaminated data sets, the number of missed outliers, the difference of the height parameters, and the elapsed time by each method are compared.

To investigate these errors we propose to identify aerosol contaminated data of Advanced Very High Resolution Radiometer infrared channels with measurements of Aerosol Optical Thickness as estimated by Sea-viewing Wide Field-of-view Sensor.

The information the Fed releases on bank deposits is similarly biased and contaminates data on the money supply and thereby on the liquidity of the economy produced by Federal Reserve policy.

Note that in passes where ion drifts calculated at one end of the satellite pass were contaminated by data of poor quality, then data from only the other end of the satellite pass were used as the offset value.

In order to assure that base line drift and low frequency motion artifacts do not contaminate the data, the data were high-pass filtered in 4 30 Hz, leaving out the delta and gamma band.

It has been found from this study that damage scenarios involving as low as 10% loss of stiffness in multiple elements are accurately determined (localized and severities quantified) even when 2% noise contaminated modal data are utilized.

This could be attributed to the variation in the model parameter sensitivities and noise level that contaminated the data.