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We evaluate in this section Kapuer's and Kagop's efficiency against a real life scenario.
Next, we evaluate in this section a seamless adaptation of our algorithms to a dynamic environment.
To evaluate this hypothesis, we analysed tissue sections from two groups of breast cancer patients.
The proposed design is evaluated in this section.
The performances of the three newly proposed estimators are evaluated in this section.
The results of audio enhancement for the music signals are analyzed and evaluated in this section.
The metrics evaluated in this section are all based on luminance information.
Similarly, by utilizing the redundancy of system dynamics, a Kalman filtering-based heuristic approach is evaluated in this section.
It should be noted that the classification performance evaluated in this section is classification accuracy at the cell level.
The performance of the proposed time-slotted multi-hop transmission (TSM) protocol is evaluated in this section using an OPNET Modeler 16.0 simulation model.
In this section, we evaluated this method using the data of the spike-in experiments under the condition with the background.
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