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Neural networks for aerosol particles characterizationNeural networks for aerosol particles characterization
Оценка размеров топографических дефектов полупроводниковых кремниевых структурQuantitative characterization
Determination of the parameters characterizing the superexchange interaction in complex ferrite-spinels-zinc system provide a useful basis for a quantitative interpretation of the spread of Curie
Neural networks for aerosol particles characterizationNeural networks for aerosol particles characterization
Qualitative and quantitative analysis of oil samples extracted from some Bashkortostan and Tatarstan oilfields based on NMR spectroscopy data were carried out. The quantitative fractions of aromatic molecules and functional groups constituting
Quantitative estimation of polydispersity of gas-liquid foamsThe expansion of equivalent (spherical) foam is suggested as a macroparameter characterizing high
Nanocalorimetry: Door opened for in situ material characterization under extreme non-equilibrium conditions materials characterization technique that employs micromachined calorimetric sensors. The key advances
Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networksWe introduce a Mueller-matrix imaging polarization-based approach for the quantitative digital
Quantitative assessment of submicron scale anisotropy in tissue multifractality by scattering Mueller matrix in the framework of Born approximation for the quantitative assessment of the multifractal anisotropy. The method is based on the processing of relevant
Qualitative and quantitative assessment of the state of the posture of junior school children-called transition. Transition types are characterized by the change of one of the curves of the spine or increases
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