Your English writing platform
Discover LudwigSuggestions(5)
Exact(12)
When field data are lacking, combining expertise with data-based models is recommended.
Multi-criteria evaluation of ANN models is recommended for better interpretation of model efficiency.
For analysis, the use of extended competing risk models is recommended.
Based on the analysis result, a series of models is recommended.
Further incorporation of such interactions into Earth system models is recommended to better predict future CO2 fertilization effects and impacts on the global carbon cycle.
To assist in the classification of the water body, the combined use of monitoring data and pollutant fate models is recommended.
Similar(48)
The benchmarked models are recommended for conducting numerical parametric studies, and expanding the knowledge base.
Approaches to include this surrogate in the MASST and streamtube models are recommended.
One sign of its challenge: Fewer than a dozen of the company's models were recommended in a recent Consumer Reports survey.
Conditions at which the different one and two-dimensional models are recommended to be used are presented.
The use of the BFGS training algorithm for ANN, and the RBF kernel function for SVR models are recommended as useful options for simulating hydrological phenomena.
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