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Results of the present investigation showed that the ANFIS model had the ability to estimate soil CEC by computing easily measurable variables with guarantee of authenticity, reliability and reproducibility.
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This is a simple clinical prediction rule based on easily measurable variables at admission with a very high sensitivity (0.934).
Reflective measurement models assume empirically measurable variables.
A soft-sensor measurement scheme is proposed taking online measurable variables as the model inputs.
These methods use mathematical process models to relate data of several measurable variables.
Therefore, the mathematical model is transformed in a form containing all measurable variables.
The energy calculation requires quantitative data on physically measurable variables.
The measurable variables are mass, strength and physical performance.
The model only considered data on readily measurable variables.
Structural equation model (SEM) shows the relationship between latent variables and measurable variables through figures.
The models considered data on only readily measurable variables that were captured in the clinical trial.
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