Sentence examples for inverse tool from inspiring English sources

Exact(2)

However, calculating the CL-surface of the measured data involves time-consuming computations, such as swept volume modeling of an inverse tool and Boolean operations between polygonal volumes.

After all cells areas were filled with one colour, they were distinct with other cells and other part in the image, were easy to be chosen with Magic Wand tool, subsequently, the other part of the image was chosen by Inverse tool and the area of the part were changed into another unique hue.

Similar(58)

Therefore, an inverse identification tool is developed and validated, based upon the Artificial Neural Network theory, using the available experimental data as input data and the numerical model for the network training.

Kinematics were then filtered at 30Hz using OpenSim (Low-pass IIR Butterworth, 3rd order) and input to the inverse dynamics tool to estimate joint moments.

Joint angles were estimated using the inverse kinematics tool, which reproduced the experimental gait patterns in the scaled model using a weighted least-squares approach to minimize the differences between the experimental marker locations and the model's virtual marker locations.

There are two necessary conditions an up-to-date inverse folding tool must fulfill.

The curriculum is based on four fundamental areas: mathematical models and analysis for imaging sciences and inverse problems, tools and techniques from modern imaging sciences from medicine, biology, physics/chemistry, and earth science, algorithms in numerical methods and scientific computing and high performance computing skills and architecture oriented towards imaging sciences.

As an element in a toxicity screen for environmental chemicals, inverse docking tools can be used to guide experimental testing.

All recent RNA inverse folding tools are able to design sequences for a given structure with or without sequence constraints.

In this study, we perform an uncertainty analysis of an integral plume model to examine the efficacy of plume models as inverse modelling tools that are used to estimate source conditions from observations of the plume height, using the history matching method.

Then, after characterizing wavelength ranges and optical quantities which are sensitive to one of the parameters and not the others, one should be able to build inverse-method tools for grain radius and refractive index determination from observational data.

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