Sentence examples for data is corrupted from inspiring English sources

As an example we consider the reliability analysis of an aeroelastic airfoil subject to flutter instability whose data is corrupted by model-form uncertainty and measurement noise.

The SLR data is corrupted with random errors of 1 m standard deviation so that its accuracy is similar to that of DLR data.

Also, when the data is corrupted by noise, the use of instrumental variables to eliminate the bias on the estimate should be considered.

The proposed approach increases the accuracy of the model when the training data is corrupted by anomalous outliers and improves the performance of the FDA based diagnosis by decreasing the misclassification rate.

The drawbacks of some existing learning algorithms can therefore be revealed, especially for the case that the output data is fast changing with respect to the input or the output data is corrupted by noise.

After all, you can't make a data-backed decision if your data is corrupted, out-of-date, or incomplete.

Since the methods are general, they may also be useful in other contexts where data are corrupted by refraction effects.

There have already been fears about data being corrupted and if we continue to see those type of issues we may see a very negative public reaction".

Jordan Gerth, a researcher at University of Wisconsin's Cooperative Institute for Meteorological Satellite Studies, said that if this data were corrupted, it would harm the accuracy of weather models relied on by forecasters.

However, it is well known in the literature that results obtained in this way might not be precise, if the following are true: (i) the model of the system is not adequate or is characterised by uncertainties or (ii) the experimental data are corrupted or affected by noise.

The effectiveness of these methods, broadly proven and documented by several cases of study, can be reduced if the model of the system is not accurate or if the experimental data are corrupted by noise, especially if the mean value of the noise is not null or if biases are present.