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Considering the inevitability of time delay in many practical projects [50 57] and motivated by the above discussions, the state estimation problem for complex-valued memristive neural networks with time-varying delays is investigated in this paper.
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Multistage case control association designs have the distinct advantage of considerable reduction in the number of typings, while maintaining high powers for many practical projects to detect disease-related genes.
A typical project-schedule model using the Critical Path Method (CPM) and Program, Evaluation, and Review Technique (PERT) falls short in many practical situations.
In many practical applications, textures are captured in arbitrary orientations.
In many practical situations, Theorem 1 can be harsh to satisfy due to practical constraints.
In many practical systems, time delay is unavoidable; see [26 34].
However, this is unlikely in many practical pixelated systems.
In many practical cases, the form of function is unknown.
However, l may not be available in many practical applications.
The inverse moments can be applied in many practical applications.
Unfortunately this is not the case in many practical situations.
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