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The second modeling approach uses a reduced numerical model and kinetics mechanism resulting in computationally efficient solutions.
The proposed modeling approach uses the PV inverter feature distance weighted by parameter sensitivity as the clustering index and integrates an equivalent LVRT modelling strategy to describe the complete dynamic performance of the modelled PV power plant.
The general modeling approach uses [6 × 6] transformation matrices to reflect contact stiffness matrices to a common coordinate system where they are added together as a parallel combination, for example.
The continuous modeling approach uses coupled ordinary differential equations (ODEs) to model evolution of gene expression over time (Chen et al., 2004; Goodwin, 1963; Li et al., 2008).
Such a modeling approach uses necessary simplifications of the model and does not therefore implement all the complex cascade of hormones and/or cellular mechanisms underlying the output of the black boxes.
This modeling approach uses an executable agent-based model of the SoS that includes the SoS architecture and possible threats.
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The models were built following a statistical approach using a continuous Hidden Markov Model, a black-box state space modeling approach using Recursive Multi-Layer Perceptrons, and a histrogram-based approach.
Chiu et al. [29] proposed a pixel-wise color background modeling approach using probability theory and clustering.
We present results of our activity modeling approach using videos of both high-resolution single individual activities and ground plane surveillance activities.
A physiologically based pharmacokinetic (PBPK) modeling approach using the Simcyp program was implemented.
A hierarchical linear modeling approach, using the Poisson model with equal exposure and a logarithmic link function, was used to model these events.
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