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The parametric model of NST presented is intended for real-world application, avoiding simplifications of the design details that compromise the applicability.
A bulk carrier structural design optimization was performed as a case study to evaluate the suitability of this method for real-world application.
For real-world application, hydrothermal aging and sulfur poisoning have been considered as two key mechanistic routes responsible for performance degradation, due to their direct impact on the active sites.
In order to test the suitability of an evolutionary algorithm designed for real-world application, thorough parameter testing is needed to establish parameter sensitivity, solution quality reliability, and associated issues.
Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work.
In this section, we discuss implementation details that are important for real-world application of SIRT-FBP.
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Besides, the PPSO Core has been employed for neural network training in an SOPC-based embedded system which approves the system applicability for real-world applications.
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.
The contributions have major implications for real-world applications.
It is argued that optimal behavior is not feasible for real-world applications.
The computational costs and complexities involved, however, are often prohibitive for real-world applications.
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