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The estimation of uncertainty in cut-off specifications and its impact on the resulting net-pay intervals have been approached with reference to a commensurate suite of characterizing well logs groundtruthed by core analysis in at least one key well.
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However, use of a reference derived from a related organism should be approached with caution.
The two approaches have been compared with reference to Harwell Instruments Ltd.
The benefits of the approach have been validated with reference to a flexible transportation system operating in a pilot assembly line.
The performances of these two approaches were compared with reference to the baseline approach of equal term weighting, in which all feature concepts were equally weighted and the independent constant has already been optimized.
The procedural details and application of the proposed approach are demonstrated with reference to an actual hydropower engineering project.
The approach is developed with reference to a collocated node-based finite-volume two-phase flow solver that utilizes the median-dual mesh constructed from non-convex polyhedra.
A machine learning approach is described, with reference to the conformity assessment of pin solder joints for electronic devices after tests based on cyclic thermal stresses.
The applications of the presented approach is analysed with reference to case studies on security and energy management in smart homes.
The utility of the assessment approach is discussed with reference to a case study of a 3D structure made of reinforced concrete walls.
Numerical applications carried out by means of a coupled FE approach are provided with reference to macroscopic uniaxial loading paths and a comprehensive parametric analysis with respect to the main microstructural geometrical parameters governing the failure behavior of the composite solid is carried out.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com