BRFS captures an inconsistent block family to construct a rough set boundary region and designs a positive stepwise mechanism for the construction of boundary regions with respect to multiple attribute subsets, making the acquisition of boundary regions highly efficient.
We scanned the Z/W sequence divergence with a stepwise window, and determined the boundaries of strata when significant differences of divergence level between adjacent windows were detected.
It is clear that these stepped structures are nucleated at or just above the interface with the SrTiO3 and then grow stepwise upwards until they intersect another stepped boundary nucleated elsewhere at the substrate-film interface, creating a pyramidal structure.
Boundaries of A1 were defined by stepwise changes in response latencies and by reversal in tonotopic order, as in earlier studies.
We describe a stepwise solution to tackle the challenges of entity boundary detection and entity type classification without relying on any handcrafted rules, heuristics, or annotated data.
The complex interdependency of these kinematic ingredients requires stepwise and time iterative numerical analyses, especially when boundary-value problems are imposed.
The stepwise procedures are as follows: (i) defining the 'system boundary' of the product life cycles, (ii) data collection, (iii) compilation and validation of emissions flows and (iv) identification of hot-spots and emissions reduction opportunities.
Key parameters are then extracted stepwise using a nonlinear least squares (NLS) algorithm, and the parameter boundaries are identified based on Monte Carlo simulations.
The model allows for the estimation of the relative magnitude of stepwise reaction rate constants and the prediction of the sol gel transition boundary.
With reference to equations (1.1) or (3.1) with stepwise coefficients, we observe that our approach can be adapted to boundary value problems on a compact interval [ 0, T ] like, e.g., the Dirichlet (two-point) or the Neumann problem.
(D ) A series of coronal sections demonstrating the 3D structure of the patches, obtained by finding the local maxima from C and expanding stepwise pixel-by-pixel until either 1/3 maximum intensity or another patch boundary was reached.
