Your English writing platform
Discover LudwigExact(60)
Four hazard levels were defined for each index.
We have that, for each index, is continuous and (4.31).
T-test was used to detect statistically significant differences among the brushes for each index.
Meanwhile, the entropy coefficient method was applied to determine the weight coefficient for each index.
The evaluation standards for each index were also given in this paper.
The numbers in parentheses indicate the genotype ranks for each index.
For each index, we calculate the optimal threshold that would maximize expression (5).
For each index set (mathcal{I}), the following Proposition 3.1 holds.
However, satisfying the above condition for each index k individually is expensive.
Fuzzy classification was experimented for each index individually and for different combinations of indices.
The inequality is from the optimal value of (6) for each index set L i. □.
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