Your English writing platform
Discover LudwigExact(51)
Figure 1 The overview of linear feature detection using MLFD.
The overview of linear feature detection using MLFD.
A linear feature, on the other hand, is one users expect.
Battery life is an example of a linear feature of the Apple Watch.
In the decomposition, each block contains a linear feature candidate, see Figure2.
The position of a cross-cutting linear feature (i) is indicated by an arrow.
Similar(9)
We can see the benefit of using the linear feature-based approximation architecture which significantly reduced the complexity of gradient computation in (18).
The finite-strain model is linearized into the small-strain regime preserving the materially non-linear feature.
An analysis-based non-linear feature extraction approach is proposed, inspired by a model of how speech amplitude spectra are affected by additive noise.
Hybrid models of Type-2 Fuzzy Logic System (T2FLS) and Support Vector Machine (SVM) with Functional Networks (FN) as the non-linear feature selection algorithm are proposed.
This paper proposes three non-linear feature selection based hybrid models in the prediction of porosity and permeability of two geographically and lithologically differentiated heterogeneous reservoirs.
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