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This paper reviews a set of scientific studies on how driver modelling may serve as the basis for designing advanced driving assistance systems.
For example, Ron Sun in [66] has stated that "integrative computational cognitive modelling may serve in the future as an antidote to the increasing specialization of scientific research" [66], p. 14.
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The model may serve as a valuable tool in initial experimental design.
The predictions of the present model may serve for parametric studies and design of tests.
The developed model may serve as a base model for understanding process – parametric influence on electrospinning CA and related polymers.
The proposed models may serve as the guideline for the future design of mini- cyclones with multiple inlets.
Thus, the PLS BPNN model may serve as a useful tool for estimating SOM content with high prediction accuracy.
The model may serve as a viable basis for the design and evaluation of closed-loop fluid resuscitation controllers.
The proposed sedimentary model may serve as a template for interpretation of comparable settings in the geological record.
The new large database of the reduced coupled-clock numerical models may serve as a useful tool for the design of biological pacemakers.
Furthermore, the model may serve as a predictive tool to design and test strategies for the cellular use of antisense oligonucleotides.
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