Sentence examples for calibration computer from inspiring English sources

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.

We propose the Bayesian calibration of computer model mixture method which relies on the idea of representing the real system output as a mixture of the available computer model outputs with unknown input dependent weight functions.

To reduce the required computational effort during Bayesian calibration, the original computer simulation model is substituted with Kriging surrogate models based on the singular value decomposition (SVD) of the model response and the Karhunen Loeve expansion (KLE) of the spatially varying parameters.

Calibration algorithms for computer vision or photogrammetry are well documented, but they generally yield calibration devices which are cumbersome for the use in clinical stereoradiography.

Traditional approaches to calibration treat certain computer model parameters as fixed over the physical experiment, but unknown, and the objective is to infer values for the so-called calibration parameters that provide a better match between the physical and computer data.

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

However, the absence of neuromodulatory drug targets, such as dopamine and serotonin, norepinephrine, and clinical calibration make these computer models less useful for supporting CNS research and development programs.

This report describes the implementation and calibration of a computer-based mechanistic and biophysically realistic neuronal network model for working memory with Alzheimer's pathology.

The conventional ages were calibrated using the computer program OxCal v4.1.7 [45] and the INTCAL09 calibration curves [46].

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.