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The viability of the method is illustrated by using nonlinear engineering problems.
This paper demonstrates the viability of the method for low-strength mortar characterization.
Numerical examples are presented to show the viability of the method.
We show the viability of the method with data from molten polyethylene.
Numerical results are obtained in order to demonstrate the viability of the method as a design tool.
The results reveal the viability of the method in recognizing patterns consistent with the reality of the electricity sector.
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The method was validated for precision, robustness and recovery to assess the viability of the established method.
The viability of the new method is intensively investigated based on real-world and artificial problems as it is shown that our method not only arguably delivers more compact and parsimonious network structures, but also achieves lower predictive errors than state-of-the-art approaches.
The research outcome indicated the viability of the proposed method in fabricating NiAl MECS devices.
The viability of the proposed method is illustrated through a pitch-axis missile autopilot benchmark problem.
Several recent works have demonstrated the viability of the DGDT method for nanophotonics.
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