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In this article, a TRIZ based model is proposed to support the innovation and knowledge capitalization process.
In this paper, a Conditional Random Fields (CRF) based model is proposed to learn latent semantics of PDF page content.
In this paper, an exploratory data analysis based model is proposed to carry out such estimation analysis by designing distribution and parametric models for the reference base.
Thus a deep belief networks (DBN) based model is proposed to simulate the information analysis and decision-making procedure in medical practice.
In the kinematics modeling, the ruled surface based model is proposed to describe the undulation characteristics and used as a guide for the biomimetic mechanism design and implementation.
A fracture mechanics based model is proposed in order to estimate the required prestressing level needed to arrest the crack propagation in the notched beams.
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Empirical models based on packing properties are presented which accurately predict the gas holdup, whereas energy based model was proposed to predict liquid circulation velocities.
A physically based model was proposed to describe and predict the microstructural evolution in the hot forging process of those pipes.
Mean field Eshelby based models are proposed for the prediction of the overall properties and the internal stress/strain distribution of knitted fabric composites.
A micromechanics-based model is proposed for the finite strain deformation of filled elastomers based on generalized Eshelby's tensor and Mori Tanaka's method.
A kinetics-based model is proposed to explain the anomalous migration behavior and morphology changes of the Ge QDs based on the Si flux generated during the oxidation of Si-containing layers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com