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However, like all GO-based evaluation methods, the metrics are dependent on how well genes are annotated.
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Applying a quantitative method, the metrics are categorized into four main BSC perspectives.
A) Details of Jitterbug's prediction method with the metrics used as filtering criteria highlighted in orange.
The second approach relies on machine-learning methods that use the metrics' values as features.
The experimental and numerical results show that the vibration-based damage methods combined to the metrics can be used in Structural Health Monitoring (SHM) systems to identify the damage in the structure.
Despite similarities between the fluorescence imaging techniques, the methods by which the metrics are derived differ.
In terms of measuring potential 'impacts' of the films (and additional creative applications), we are currently devising methods for identifying the metrics to evaluate such impacts.
We then present our method, starting from the metrics of urban form and the concept of socio-economic index, and by then following with the type of analysis conducted.
To provide a simple number for comparison between methods, the averages of metrics on each dataset are also listed.
The reasons for these discrepancies are probably due to differences between the two methods, in particular in the metrics used.
It should be mentioned that compared to the other metrics, the method-level metrics is still the most dominant metrics prediction, followed by class-level metrics in fault prediction research area and machine-learning algorithms.
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CEO of Professional Science Editing for Scientists @ prosciediting.com