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A previous study looking into managing patients using an approach of a sequence of trial-and-error treatments based on a presumptive hierarchy of possible diagnoses has shown that this is a feasible option [ 14].
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A multi-disciplinary palaeoecological approach on a sequence of dated archaeosediments was accomplished.
The second test applies the proposed approach on a sequence of user's motions to show how the presented approach performs well using real images.
The flow equation approach consists of a sequence of infinitesimal unitary transformations and is conceptually similar to renormalization and scaling methods.
Such approaches have been analysed and compared [ 10]; essentially, these approaches consist of a sequence similarity comparison with tools like BLAST [ 11] along with specific categorization algorithms and processing pipelines that exploit the results of the sequence similarity.
The bottom-up PC approach is comprised of a sequence of REML analyses that starts with a sub-set of traits.
Instead of using a dynamic stabilizer with high order, this approach uses a sequence of time-varying gains that are directly injected into the internal model unit.
The proposed match reduction approach solves a sequence of subproblems, posed as transportation problems, successively reducing the set of matches that are considered in the next stage.
The approach uses a sequence of small-sized probing packets to estimate the service curve of the network.
The approach follows a sequence of logical steps.
The approach uses a sequence of Landsat images, aerial photos, and topographic maps.
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