Sentence examples for more accurate characterisation from inspiring English sources

Exact(6)

Even so, the 3-D MT model provides a more accurate characterisation of the hydrothermal alteration products.

This new analysis technique could be used for in-process analysis of CFRP structures as a more accurate characterisation method, reducing the chance of costly manufacturing errors.

A key reason for these mixed findings could be that entrepreneurship has been erroneously specified as entry density; whereas a more accurate characterisation of entrepreneurship at the macro-level is aggregated EO.

Comparison of this Class A prediction with field measurements of settlement and excess pore water pressure indicated the need for more accurate characterisation of the effects of PVD installation, particularly in terms of the value of the equivalent permeability that was adopted in a simple one-dimensional consolidation analysis of the embankment problem.

Detailed analyses of potential network bias within the PND are an important step towards obtaining a more accurate characterisation of the British poultry industry network structure.

Furthermore, it only provides a qualitative result, and although still popular due to its relative low cost and high throughput, other more quantitative techniques such as high-resolution mass spectrometry may provide a more accurate characterisation of methylation status [ 30].

Similar(54)

This method is efficient, providing more accurate characterisations of traditional pao zhi detoxification.

This report presents a more accurate picture.

The DTM grid size was 1 m, but linearly interpolated to the exact horizontal return location for more accurate ground characterisation.

The capability to characterise the 3D microscopic numerical representations of pores and mineral compositions enables more accurate pore structural characterisation and computations of permeability and various other physical properties of interest for reservoir sandstones for the purpose of petroleum exploration and production.

As expected, we found that Leave-One-Out cross-validation provided a more accurate and robust characterisation of our data.

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