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Each foot was classified using the Pirani score [18].
The surveyed data was classified using the Analysis Hierarchy Process (AHP) method.
The propensity for spontaneous combustion of lignite was classified using the crossing-point method.
The optimized image was classified using another Bayesian model to demonstrate the improved classification performance.
The sediment sample sieving test results was classified using U. S. Army Corps of Engineer USACEE).
Injury hospitalization type (trauma, poisoning, burn or other) was classified using Most Responsible Diagnosis codes.
Fibre was classified using the commercial denomination as down, white parts and discard.
The 30-band data set was classified using the abovementioned augmented training set.
GPs'speech was classified using nine main categories derived from the Verona medical interview classification system (VR-MICS/D).
The first segmentation scale was classified using the MD and ML algorithms to discriminate wheat fields from other land uses.
A Landsat image of a complex mountainous forest region of Mexico was classified using pixel-based and object-based approaches.
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