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Three parameterized finite element models are developed to discuss the accuracy and applicability of the 3D explicit FEMs based on different modeling strategies and improved failure criteria.
All these methods are shown to be equivalent with respect to their capabilities for reasoning with conditional knowledge although they are based on different modeling frameworks.
However, virtually all these resources involve incompatible formats, are based on different modeling languages, and lack appropriate tooling and programming interfaces (APIs) that hinder their wide-scale adoption and usage in a variety of application contexts.
The inaccuracies originate from using invalidated cost function, inaccurate calculation of transmission losses, violating equality or inequality constraints, comparing the performance of different algorithms based on different modeling equations, and comparing the results with different variants of benchmark systems.
The impacts of different medium designs, geometrical scaling, and the breakdown of scaling, both in terms of write-ability and transition curvature, are shown based on different modeling techniques, including analytical formulas, finite element modeling (FEM), and micromagnetic simulations.
Based on different modeling approaches, results from the same data sets have been previously reported and were quite close, with the small discrepancies noted possibly due to the differing modeling approaches.
Similar(52)
Such MPC-based control schemes are very heterogeneous, based on different model structures and realizations, with different features and infrastructural/memory/computational requirements.
However, different analysts produce different models based on different modelling approximations and assumptions.
In this paper several mismatch measures are presented based on different model descriptions.
The team observed: "As models continue to develop and comprehensively represent the mechanisms by which climate change might influence air quality, we should expect that large estimates based on different models will likely persist".
However, if uptake rate constants were estimated based on different model predictions, none of them yielded sufficient results and consequently no dependency of estimated k 1 and experimental BCF was found.
More suggestions(19)
based on different design
based on distinct modeling
based on different designs
based on comparative modeling
based on scientific modeling
based on different working
based on generative modeling
based on different technology
based on different location
based on statistical modeling
based on probabilistic modeling
based on different adversarial
based on different ventilation
based on mathematical modeling
based on molecular modeling
based on different accounting
based on numerical modeling
based on different learning
based on different myosin
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