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The system parameters used in modeling are based on the real system data in PSS/E files provided by KEPCO and KPX [23, 24, 25].
Discussions about proper modeling are based on the typical cyclic plasticity phenomena obtained from testing several engineering materials under various uniaxial and multiaxial cyclic loading conditions.
Early studies on dataflow modeling are based on the Kahn process network introduced by Kahn in 1974 [18], which is a dataflow network with a local sequential process and global concurrent processes.
Moreover, the use of Cox PH in joint modeling of time-to-event and longitudinal data (Wulfsohn and Tsiatis 1997) usually leads to an underestimation of the standard errors of the parameter estimates (Hsieh et al. 2006; Rizopoulos 2012), and therefore most methods for joint modeling are based on parametric response distributions (Hwang and Pennell 2014).
Current methods employing this type of modeling are based on seed growing [ 3- 5].
The templates upon which the homology modeling are based are of sufficient resolution to allow good side chain visualization.
Similar(54)
Despite the best science, climate modeling is based on statistical predictions.
Parametric modeling was based on the Gompertz equation.
Around 3,200 of the models are based in Britain.
These models are based on blocks diagrams.
Some models are based on experience trust.
Related(20)
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