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More recently, neurophysiological monitoring tools have been used to develop objective models which try to estimate the ground truth.
In contrast to commonly used single objective models, which must be executed numerous times in order to provide the decision-maker with feasible solutions, multi-objective models exhibit a complete set of feasible and optimal solutions with a single execution.
A TOPSIS-compromised programming approach is designed originally to transform the proposed models into single objective models.
Objective models lead to the aggregation of information derived from physics, economics or eco-environmental analysis into a performance indicator.
Objective models are machine executable and require little human involvement for repeatable automated regression tests to be created for VoIP systems.
Here, we are interested in exploring the use of EEG based aBCIs to measure HIFs to be used in objective models of speech QoE perception.
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The objective model of (5.1) has a nonempty solution set.
The F-test was used to compare one objective model against another objective model at the 99.9 % significance level.
(i) The objective model of (5.1) has a nonempty solution set.
Authors in [9] proposed an objective model for evaluation of the depth quality using subjective results.
Subjective databases used for metric calibration and testing are a key component in objective model development.
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