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A classical method is called the list scheduling [16] and it schedules instructions within a single block, by building a directed acyclic dependency graph (DAG) (as in Fig. 1).
A classical method is to select data on the basis of local time, e.g., all local times, only day times or only night times (e.g., 6 00 18 00 or 18 00 6:00 LT).
The main drawback of such classical methods is the high probability of falling in local optimums, besides the complexity of calculations.
The classical methods are the edifice of IDMs.
As a result, the classical method is prone to overestimating life expectancies for such populations.
In Figure 10b, it shows the estimated velocity by the classical method is 1.92 m/s which deviates from the true value a lot.
This classical method is used by many correlation systems, such as OSSIM3 (Open Source SIEM), whose open code has widely disseminated the idea of security event correlation.
Although this classical method is robust and very sensitive, it is not very suitable for high-throughput screening (HTS).
The optimal feature set of each classical method was selected according to the AUC and ACC values.
The characterization of PLA MMC microparticles prepared by classical method was also examined in the same way as used for comparison.
The problem encountered in the classical snake method is the dependence on the contour initialization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com