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An iterative optimization scheme based on direct and adjoint equations arises, which has been validated on two examples, the one-dimensional Burgers equation and the two-dimensional compressible Navier Stokes equations.
In addition to the four testing sets in the cross-validation study, the best of the four hub classifiers has been validated on two external data sets, which were consisted of experimentally-determined PINs in MRSA252 and C. elegans.
The proposed method has been validated on two surface-mounted brushless AC PM machine designs showing good agreement with direct FE predictions of the PM power loss.
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The approach has been validated on three example systems: a banking system, classroom scheduling system, and an insurance system.
The procedure has been validated on ten healthy subjects using an optoelectronic system to measure the actual body-to-sensor rotation matrices.
The effectiveness and robustness of the proposed CSA have been validated on five different systems including three systems with quadratic fuel cost function of pure power units neglecting transmission losses and two systems with nonconvex fuel cost function of pure power units.
The performance of this system has been validated on three public databases: the JAFFE, the Cohn-Kanade, and the MMI image.
The performance of the proposed method is validated on two large-scale domes.
Both designs were validated on two control drive applications: DC and AC motors.
This approach is validated on two representative cases of civil engineering applications, including active and passive steel reinforcements.
The method is validated on two test benches and a comparative study is conducted with the kurtogram.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com