Your English writing platform
Discover LudwigExact(60)
Rock mass classification is the first stage in empirical approaches to predicting rock mass cavability.
In this paper, we design a deep feature based framework for breast mass classification task.
Geological logging and rock mass classification are two major tasks prior to NATM tunnel excavation.
We break the problem down into three stages: mass detection, mass segmentation, and mass classification.
Rock mass classification is analogous to multi-feature pattern recognition problem.
This paper is concerned with the design and development of an automatic mass classification of mammograms.
The first is a well established empirical rock mass classification method, the Geological Strength Index (GSI).
Rock mass classification systems are common tools used in the design and construction of rock engineering.
The RMR and GSI methods were utilized for rock mass classification.
Rock mass classification systems are widely used tools for assessing the stability of rock slopes.
Of these, rock mass classification systems are one of the most common means of excavatability assessment.
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