Your English writing platform
Discover LudwigSimilar(60)
An artificial neural network (ANN) is trained and tested to arrive at the actual values of the Abbott Firestone curve parameters using the computed image based feature parameters.
We also developed a GUI for the feature parameter input.
A concept of feature parameter map that leads to a constraint mapping method is proposed.
Firstly, the time frequency feature parameter sets are constructed to completely extract the features of different life grades.
We propose a feature parameter input method to generate a 3D STEP model of a ship structure from 2D drawings.
As a conclusion, it is finally proposed that S-ADiffO2 could be considered as a feature parameter of interest to characterize the ORR electrocatalysts in porous electrode structures.
In this paper, a new damage detection method based on a damage sensitive feature parameter named Modal Kinetic Energy Change Ratio has been proposed.
Then, SOLLTSA is proposed to compress the time frequency feature parameter sets of testing and training samples into low-dimensional eigenvectors with clearer clustering.
number of omitted features parameter set to 1.
In many applications, some feature parameter is more reliable/accurate than others.
Here, W is a CC feature parameter (order of the cepstrum coefficients).
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