Your English writing platform
Discover LudwigSuggestions(4)
Exact(60)
Unfortunately existing approaches suffer from various limitations.
However, current VBL approaches suffer from several limitations.
However, most of these approaches suffer from two major drawbacks.
Asymmetric approaches suffer from high computation overhead, while symmetric approaches suffer from low immunity against attacks such as chosen and known plaintext attack.
Finally, some approaches suffer from scalability problems when the number of workflows increases.
But these approaches suffer from non-uniformity in nanofiber diameter or not quite scalable.
However, these approaches suffer from rapid clearance and reduced potency over time.
However, these approaches suffer from serious difficulties in setting appropriate thresholds and producing continuous, one-pixel-wide contours [6].
However, the existing approaches suffer from two main drawbacks that limit their effectiveness in the real-world services market.
When tackling this problem, traditional mathematical approaches suffer from a limited convergence ability, especially under the noisy condition.
Existing approaches suffer from poor scalability and inefficiency because they are centralized and access all data frequently when update occurs.
Write better and faster with AI suggestions while staying true to your unique style.
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