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Incorporating these features enables the method to more effectively identify first principles.
This mechanism enables the method to explore various salient objects adaptively.
The large stability region enables the method to take computationally efficient time steps.
This enables the method to achieve good robustness and precision in identifying salient objects in videos under various challenging conditions.
A new technique is also developed that enables the method to handle user-defined constraints on the layout design.
At the same time, though, it is more specific than general consensus clustering methods, which enables the method to achieve higher accuracy in cluster labelings.
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The use of remote sensing techniques enables the methods to be applied over large spatial scales and to areas with limited ground observations.
This will enable the method to be adopted in a reliable way for standard SMF simulations.
However, applications to practical problems necessitate extensions that enable the method to deal with more complex processes.
Appropriate choices of the power law enable the method to approximate the energizing effects of a turbulent boundary layer for higher Reynolds number flows.
Compliance with human perceptual characteristics enables the proposed method to detect salient objects in complex scenes and predict human fixations.
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