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This work presents a novel methodology for characterising fatigue cracks under biaxial conditions on a low carbon steel.
In this paper, we have presented a methodology for characterising the landscape of cloud computing based on the set of NIST defining features.
Their ability to model nonlinear patterns and learn from the data makes it a valuable alternative methodology for characterising the failure process.
A chemometric method for the treatment of ion mobility coupled to mass spectrometry (IMS/MS) data is proposed as a complementary tool for obtaining experimental evidence for the study of MS fragmentations, which can provide a direct and automatable methodology for characterising ionic series and the hierarchy of all product ions of an MS spectrum.
The degree of tumour differentiation has long been employed in CRCs for grading tumours (Sobin et al, 2009); however, this does not necessarily assess EMT, which requires a methodology for characterising the morphological heterogeneity at the leading edge of a tumour.
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We advocate the use of existing methodologies primarily as tools for characterising cerebral haemodynamic relationships.
The methodology presented in this paper features great potential for characterising the spatial patterns and temporal dynamics of complex subsurface flow geometries by using measured temperature time series in vertical profiles.
Several possibilities for characterising a problem domain exist.
The proposed methodology first characterises localised regions of each video frame using multiscale GIST features.
The items included in the consensus study for the model OA consultation cover both the assessment of the problem and its treatment if a diagnosis of OA has been made and is to the authors' knowledge the first study using consensus methodology to characterise such a consultation.
Inspired by the well-known wizard-of-Oz methodology we discuss the need for characterising and carefully controlling the range of its possible variations.
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