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This work can be compared to existing framework proposals for quality management in social media (Table 3).
There is a clear difference between the runtimes of the genetic framework when compared to the exhaustive framework.
The results are indicative of a significant growth in the number of efficient operators and managers in IRE framework compared to RE framework.
The results reported by the genetic framework are very similar and reliable compared to exhaustive framework.
The case studies were compared to a framework provided by Michelsen et al. (2001).
Compared to past work, this framework is typical and flexible, which is easy to be referenced by other researchers to develop their own multi-agent based SHM system.
Since the Rasch model allows estimating the parameters by using all the available information based on the likelihood, we might expect a better performance of IRT as compared to CTT in this framework.
The present tests clearly show that the proposed parametric framework has superior sensitivity compared to the other frameworks evaluated in this study, corresponding to lower levels of false selection of genes.
The framework aims to develop a more realistic method for liveness detection compared to previous frameworks proposed in the literature.
The parametric framework appears to provide superior reproducibility with greater testing power and a lower false-positive rate compared to existing frameworks.
In the proposed framework, the expressional changes observed and genes selected are coincident between platforms, achieving superior universality of data compared to other frameworks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com