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They still felt the need to have ways to predict specific, yet unknown risks in order to be able to prevent incidents and they doubted whether the current feature of the risk models was suitable for this purpose.
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Among the modelling approaches, Markov models are suitable for modelling of dynamic system behaviour.
Although ML models are suitable for a variable vocabulary of names, they require large resources.
NIRS models were suitable to predict concentrations of C, N, P, lignin and extractives.
SIR models are suitable to describe the transmission of infectious diseases with life long immunity.
Similarly, finite Markov models are suitable for heavy-tail channel usage scenarios such as multimedia transfer.
It is concluded that the proposed models are suitable to reproduce the constitutive behavior of discontinuities.
It was found that only the 2D models are suitable for support design.
Whether those models are suitable for use are queried, leading to challenges.
The models are suitable for applications in which the scale-up is neccesary.
We found that very few models are suitable for polymer design/predictive calculations.
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CEO of Professional Science Editing for Scientists @ prosciediting.com