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Structures with mechanical joints are difficult to model accurately.
We believe this is due to cell population variations that are difficult to model with a different well during training.
Unfortunately, disk arrays, like many parallel systems, are difficult to model and analyze because of queueing and fork-join synchronization.
Along with the problem of standardization, supervision and workmanship are parameters that are difficult to model.
However, many real processes exhibit peculiarities and nonlinearities that are difficult to model.
The contribution of the shaft torsional rigidity and the in-plane floor stiffness are difficult to model.
Especially, the aerodynamic loads acting on the vehicle are difficult to model and the respective parameters cannot be easily acquired.
Teeth and dental restorations are difficult to model because of their complex anatomical shape and layered structure.
This paper explores these issues and discusses why biomedical data are difficult to model using conventional relational techniques.
Civil engineering structures are difficult to model accurately and this challenge is compounded when structures are built in uncertain environments.
Microstructural dynamics and boundary singularities generate complex multiresolution patterns, which are difficult to model with the continuum approaches using partial differential equations.
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