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Discover LudwigThe phrase "poor robustness" is correct and can be used in written English.
It means a lack of strength or durability, or being easily affected by outside factors. Example: The new software system had poor robustness, as it crashed frequently and was unable to handle a large volume of data.
Exact(27)
Meanwhile, the large and negative derivative gain designed under the nominal characteristic ratio assignment leads to a poor robustness.
The Prony method has some limitations, such as poor robustness to noise, computational burden and the unstable nature of root solver routines.
To keep the distributed processors fully utilized requires commensurately growing the batch size; however, large batch training often times leads to degradation in accuracy, poor generalization, and even poor robustness to adversarial attacks.
The current approach to the selection of freezing conditions is still empirical and nonsystematic, thus resulting in poor robustness of control strategy.
However, its main challenges are the poor robustness against impulsive noise, slow convergence and high computational complexity for long memory high order expansion on each module.
The Smith predictor is not a suitable control scheme for this class of systems and special approaches developed hitherto are not practically applicable due to their poor robustness and complicated design and structure.
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Nanocolloidal crystals have emerging applications in photonics and optoelectronics, but their poor mechanical robustness is a major hindrance to their widespread application.
A result is that the ZN-tuned controllers yield an undesired overshoot and oscillation and poor stability robustness properties, whereas BLT tuning removes the overshoot and oscillation, but at the expense of a more sluggish response.
Even if they are satisfied, the filter system is still poor in robustness, i.e., it will crash in the event of fusion center failure.
Specifically, the larger the SF is, the poorer the robustness becomes.
This makes the V-VAD approaches vulnerable to noisy observation and changes of environment conditions, resulting in poor performance and robustness to undesired frequent speaking state changes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com