To identify the most suitable LBP operator, we analyzed the performance of LBP P,R operator along with its other uniform and rotation invariant variations, namely LBP P, R u 2, LBP P, R ri, and LBP P, R riu 2 [9].
For this purpose, a new algorithm, which considers both this problem landscape information and the performance histories of the operators, for dynamically selecting the most suitable differential evolution operator during the evolutionary process, is proposed.
Along with the classification performance, this computational measurement would enable us to decide the most suitable feature extraction operator for the proposed system.
Comparative analysis reveals that LBP8,1 is the most suitable texture analysis operator for the proposed system due to its perfect classification performance along with the lowest degree of computational complexity.
In addition, a number of LBP variants have been incorporated in the experimental analysis to identify the most suitable texture analysis operator in terms of diagnostic capability and computational complexity.
This method discovers the sets of genes that have the greatest effect in the dataset by selecting the most suitable mutation and crossover operators.
Fluid media are most suitable when undertaking operative procedures.
The LED bars on the control unit indicate contacting force level between the drill bit and tissue and provide indication to the operator on the most suitable feed force range for the task.
Simulations showed that our least absolute shrinkage and selection operator approach identified the most suitable hypothesized model with high probability in moderately sized samples, but with lower probability for hypotheses involving change in exposure or highly correlated exposures.
Accordingly, elaborating the most suitable strategy for each particular system configuration and operator need can become quite a complex and time-consuming task, which can massively benefit from computational support.
