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However, given that oscillations are often structurally not robust (structural robustness refers to whether the behavior of a system is robust to minor modifications of the form of the underlying equations), it is surprising that the question of robustness has been largely ignored in the context of the RQH.
Robustness refers to the fact that the watermark must survive against attacks from potential pirates.
Robustness refers to the survivability of the hidden data under various processing operations.
From the perspective of financial system engineering, financial robustness refers to the ability of financial system that copes with change.
It is well-known that robustness refers to the ability dealing with unknown uncertainties or unmodeled dynamics of the model-based control theory.
Robustness refers either to the structural integrity of the network following deletion of nodes or edges or to the effects of perturbations on local or global network states.
Better synchronizability means faster synchronization of the oscillators, sparsity means a low ratio of links per nodes and robustness refers to the resilience of a network to the random failures or intentional removal of some of the nodes/links.
Robustness refers to the ability to cope with uncontrolled settings characteristic of incomplete and/or corrupt (adversarial) biometric information on one side, and varying image quality on the other side.
We define environmental robustness as the insensitivity of a phenotype to environmental perturbations, while genetic robustness refers to the constancy of a phenotype when some component of the genotype is altered.
Phenotypic robustness refers to the invariance of the specified target phenotype given the genetic makeup and environmental conditions.
Qualitative robustness refers to whether the evidence base yields the same qualitative general conclusion upon alterations of the data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com