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Cognitive rehabilitation (CR) plans consist of a sequence of CR tasks targeting main cognitive functions.
They also discussed their strengths, weaknesses, and the challenges in applying these techniques in CR tasks.
This paper presented CR tasks and challenges with the necessary evaluation and challenges of the learning technique's application in cognitive radio networks.
In general, the CR tasks can be divided into two main categories: (1) cognitive capability for spectrum sensing and (2) reconfigurable capability for decision-making and resource management.
We propose an actuator fault tolerant control scheme based on a bank of virtual actuators (VA), with the novel feature that the virtual actuators implicitly integrate both fault detection and isolation (FDI) and controller reconfiguration (CR) tasks.
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To statistically compare rates of correct older and recent responses obtained by the various SR blocks and the final CR task an analysis of variance for repeated measures was computed in combination with additional post-hoc tests (Newman-Keuls; nominal level of alpha set to p<0.05).
Experimental results on two CR-HEF tasks with real-world data sets show that our TMF is able to perform significantly better than the state-of-the-art methods.
The CR FA task is to assign the frequencies to the SUs when and where they request access to the spectrum, to assign new frequencies to the CR users when co- or adjacent channel PU transmission occurs in the interference range, or when the quality of service reduces below the requested threshold.
Thus, to detect the appearance of a PU is one of the most important tasks in CR systems.
However, there are certain challenges associated with the CR and most challenging task is how will CR nodes converge on a control channel and how will they form a CR network.
The key-reponse task (condition Cr) was performed by subjects in the physiological experiments.
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