Sentence examples for computer calibration from inspiring English sources

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Usually, automatic computer calibration of the zero-loss peak is performed before observation of a specimen [ 21].

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Computer aided calibration is used for the parameter estimation.

We focus on batch sequential design strategies for achieving maturity in global prediction of discrepancy inferred from computer model calibration.

Speaking what seemed to be a secret language only twins comprehend, the two men plumbed the depths of computer-monitor calibration and the subtle advantages of imperceptibly different paper textures.

Thus, using computer simulations GPC calibration curves of non-linear topologies can be constructed based on the calibration curve of the corresponding linear polymer.

It is adequate for colorimeter measurement applications, such as medical diagnosis, color printing, computer color monitor calibration, and cosmetics, paint, textile and the process control of printing materials.

With the realization of image processing, signal processing, structure analysis, motion detection, camera calibration, computer graphics, 3D reconstruction, and machine learning, a large number of generic algorithms have higher efficiency.

The proposal is based on design fires obtained from the COMPF2 computer program, after calibration to results from realistic test fires using judicious characterisation of the fuel in the input data.

An approach oriented to systems and able to integrate effectively field measured data and computer simulations for calibration in the modeling process has the potential to revolutionize the way buildings are designed and operated, and to stimulate also the development of new technologies and solutions in the field.

Drag an image around and see whether it looks brighter or darker in certain places.[12] There's no way to correct for this short of replacing the monitor, but if you know it's there you can watch just one area of the computer screen during calibration, to avoid skewing the results.

Despite the growing performance of modern computers and clusters, calibration of such models from noisy experimental data remains a nontrivial and often computationally intensive task.

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