SE and SEM carried out the development of image segmentation algorithm based on the revised multiobjective function (MOBJ1 and MOBJ2) and participated in the design of the study, and performed the experimentation of this algorithm for the assessment of the multiobjective function.
The resulting optimised Boolean network with the revised Boolean functions (Tables 3 and 4) represents an enhanced ECM model, roughly matching the given biological conditions and extensively exceeding the present possibilities of automatic methods such as text mining, symbolic computation or machine learning.
Thus, the correction technique can be applied immediately after the original Green's functions are computed, and the revised Green's functions are applicable in our real-time approach.
The selected and corrected scalar and vector measurements are iteratively modeled (process 5 in Fig. 1) on regional scales using the revised spherical cap functions (Thébault 2006).
We observed similar scores in the original BPI interference scores (pain influence on function) compared with the revised BPI interference scores (decreased function in general).
This study observed similar scores in the original BPI interference scores (pain influence on function) compared with the revised BPI interference scores (decreased function in general).
After study selection, measures were categorized according the definitions of the WHO International Classification of Impairments, Disabilities, and Handicap version [ 2] and the revised International Classification of Functioning [ 3].
For a given packet generation rate (end-to-end throughput) λ, the optimal transmission range, R∗ that maximizes the revised transport capacity is a function of n, D, and λ: R ∗ = min D 2, D 2 − A 1 A 2 · Λ + A 2, (19).
The NCF assessment comprised 3 domains: 1) memory using the revised Hopkins Verbal Learning Test, 2) executive function using the Controlled Oral Word Association and Trailmaking Test B, and 3) fine motor coordination using the pegboard dominant and nondominant hand tests.
Hu et al. [29] considered an integer-order derivative instead of the fractional-order derivative of a Lyapunov function to prove the revised Lyapunov stability theorems.
Some expositions of Bayesian inference prefer to express the revised opinion as a new probability function $P'( \cdot )$, which is then equated to the old $P( \cdot \mid s)$.
