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In this paper, the EnergyBlocks methodology for accurate energy consumption prediction is introduced.
Development of methodology for accurate and reliable condition assessment of civil structures has become increasingly important.
The development of a methodology for accurate and reliable condition assessment of civil structures has become very important.
In this work, an integrated FEM-ANN methodology for accurate prediction of laser bending for a wide range of process conditions is presented.
In the present study, the methodology for accurate estimations of the current constriction resistance in solid state electrochemical devices via 3D tomography reconstructions is developed.
We have presented a registration methodology for accurate alignment between PET and histopathology slices that can be performed in routine pathology settings and that demonstrates an accuracy better than the spatial resolution of the PET scanner.
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The platform is set on predefined and original statistical methodologies for accurate inference in CRC, biomarkers extraction, CRC stage prognosis, etc.
In biomedical research and clinical diagnostics, along with filtration, centrifugation and sedimentation techniques, fluorescent activated cell sorting (FACS) and magnetic activated cell sorting (MACS) have become standard methodologies for accurate and continuous sorting of physically similar, heterogeneous mixtures of cells and particles.
Several studies focused on methodologies for accurate identification and quantification of the extent of epistatic interactions.
A systematic methodology for an accurate evaluation of various existing linearization procedures sustaining mean fields theories for nonlinear composites is proposed and applied to recent homogenization methods.
The numerical results demonstrate the superior capability and potential applicability of the i3-RZT/iFEM methodology for performing accurate shape and stress sensing of complex composite structures.
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