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The potential of the method for real world applications is illustrated by simulating a simplified dynamical mixer where for the fluid flow and the scalar transport no-slip and no-flux boundary conditions are imposed, respectively.
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Experimental results demonstrate desirable performance of our extension method for real-world dual source cardiac CT images.
An extension to other more salient and robust features such as SIFT and HOG would increase the applicability of the proposed method for real-world applications.
However, thin film technology is a core high-yield fabrication method for real-world sensors because of the main advantages such as low power consumption.
A bulk carrier structural design optimization was performed as a case study to evaluate the suitability of this method for real-world application.
On the aspect of identification delay and communication overhead, k-TAS obviously outperforms other methods and is thus more practical for real world application.
The method shows robust behavior in all analyzed aspects, which is vital for real world applications.
Despite of increasing computer power and availability of better simulation packages, there are a number of challenges remaining when applying numerical optimization methods for real-world engineering problems.
Comparison studies and experimental results prove the accuracy and speed of the proposed method for various real world applications.
Large scale, prospective cohort studies are not the only non-randomised method for capturing real world health economic data.
Application of intelligent methods for SR control not only simplifies robot control and improves robot responses during competition, but also encourages engineering students to use intelligent methods for solving real world's problems.
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