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Three kinds of laminated glass models are summarized.
The drawbacks of existing finite element models are summarized.
Then the SOFC models are summarized in different dimensions and from steady-state to transient.
The advantages of neural network models are summarized: universal approximation capabilities, flexibility, and parsimony.
Important lessons with regard to specification of future experiments for validation of numerical models are summarized.
Also, the numerical methods and validation of the models are summarized and significant results obtained through mathematical model are detailed.
The principles underlying the various models are summarized, most of which focus on the granular structure of fresh/hardened concrete.
The qualitative basis for the case studies and the analysis models are summarized in part I of this paper.
Four gradient cooling models are summarized according to various LOM manufacturing techniques and the thermal residual level is proportional to the cooling gradient.
The detailed characteristics of these models are summarized in [32].
The main constrained PARAFAC models are summarized in Tables1 and2.
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