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As an example, identification of the heat convection constants of a typical microelectronic package are performed using the present method and the performance is examined comparing with other inverse identification methods.
Steady state performance is examined.
The classification performance is examined on the holdout dataset.
The performance is examined on visual experiments in detail.
The performance is examined by some numerical examples.
Here, the FBMC estimation performance is examined when the assumption of invariant CFRs is dropped.
Moreover, in Fig. 4, outage performance is examined in terms of different values of interference power.
The inhibition performance is examined by potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS).
In the next, the electromagnetic performance is examined for this circular polarization.
In both a Perspective and a Research Article, the connection between poverty and cognitive performance is examined.
Classification performance is examined with extracted statistical features using a multilayer perceptron neural network.
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