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TEclassifier is based on matches with Repbase, the presence of key Pfam (Finn et al. 2006) domains (e.g., reverse transcriptase or transposase domains), and structural features such as long-terminal repeats or target site duplications.
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Source depth estimation is based on Matched-Mode Processing.
Vehicle tracking is based on matching by normalized cross correlation (e.g. [13]).
The proposed method is based on matching 3D data with a 3D human body model.
The method is based on matching multiscale feature points using rotation invariant normalized cross-correlation.
The selection is based on matching performance characteristics to the requirements.
The comparison of the results is based on matching the geometrically closest points on either grid to each other.
The interpretation is based on matching the pore pressure and temperature data with theoretical predictions based on singular thermoporoelastic solutions.
Usually, calibration is based on matching the experimental and numerical cyclic responses under loading protocols proposed by standards.
The approach is based on matching the text in web search results to designed lexico-syntactic patterns.
Our identification strategy is based on matched sample analyses, difference-in-differences regressions, and a regression discontinuity design.
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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