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The model corresponding to the output node with the largest activation level is considered as the most probable interpretation model.
Figure 1 illustrates the general application of ANNs in determining the well-testing interpretation model using the pressure derivative curves.
An NDA method and interpretation model for the determination of small fissile material masses, in radioactive waste, is elaborated.
Viewed as a two-layer infinite homogeneous reservoir saturated by slightly compressible fluid, a well test interpretation model is presented.
Furthermore, we modified the conventional interpretation model of permeability measurements by incorporating the physical mechanism of gas adsorption.
On other hand, the core data information available at certain intervals is used as the basis to establish an interpretation model for other zones with similar log responses.
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An automated framework is very useful to aid in diagnosing the well-testing interpretation models.
Overall, the TMACC interpretation modelled the ACE inhibitor structure-activity relationship highlighted important features for C-domain selective ACE inhibition.
Signal segmentation is a necessary stage for further processing of the signals, their interpretation, modelling or automatic classification.
We built well-logging interpretation models for the shear-wave slowness, mechanical parameters and geostress of the Paleogene gypsum rocks.
This confirms the presented model as a reliable (binary) classifier for determining the well-testing interpretation models using the pressure derivative plots.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com