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The phrase "a higher level of robustness" is correct and usable in written English.
It can be used when discussing the strength, durability, or reliability of a system, product, or process.
Example: "The new software update provides a higher level of robustness, ensuring better performance under heavy load."
Alternatives: "an increased degree of robustness" or "a greater level of resilience."
Exact(3)
The proposed metric is used to optimize a grid topology for a higher level of robustness.
Further, a higher level of robustness can be incorporated in the system by using an interval model of the plant while designing the controller.
Statistics putting Arsenal second among the most-fouled teams in the Premier League suggest that Wenger's players may indeed, as the manager believes, be targeted for a higher level of robustness than others, but how does that explain Hull City's presence at the top of the list?
Similar(57)
Results are given from sensitivity analyses that indicate a high level of robustness to geometric variation.
However, long-distance navigation requires both a high level of robustness and a low rate of error growth.
Previous studies have shown that co-located architectures (control unit co-located with the actuators and networked sensor channel) can ensure a high level of robustness against DoS.
The overall result was that all participants were able to successfully operate the device, showing a high level of robustness of both, the BCI system, and the navigation system.
The term can be explained as "tying a steel frame horizontally and vertically to increase its structural continuity and create a structure with a high level of robustness" (Yu et al. 2009).
The SS coding technique may outperform the LSB coding and phase coding techniques by offering a good quality for medium data transmission rates while ensuring a high level of robustness against steganalysis.
The ordinal measures provide a high level of robustness against dust on eyeglasses, partial occlusions, and sensor noise; however, like all filter-based methods, the recognition accuracy depends on the degree to which muscular structures are visible in the texture.
The low sensitivity of parameter estimates and regression analyses to significant amounts of randomly introduced errors indicates a high level of robustness of the dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com