Exact(60)
The proposed method maintains the classifier reliability even when network traffic contents changes.
The GiTTCH method maintains at least the stated confidence level for interrater reliability.
The proposed method maintains consistent performance in the presence of parameter uncertainties and incorporates linguistic fuzzy information from human operators.
The central difference method maintains the same number of elements in vec1 as were in vec and is a more accurate method than the Euler method.
In addition, the present method maintains low dissipation in a wide range of CFL number (from 10−6 to 1).
This sample preparation method maintains sediment integrity for high spatial resolution analysis which is required for tracing changes in environmental conditions over short time periods.
In addition, the TIC method maintains sensitivity to subtle changes in vegetation phenology and enables normalization even when invariant features are rare.
Results indicate that the method maintains the nominal type I error rate even when there is substantial drift in the patient population.
Results show that the hybrid method maintains most of the predictive ability of the dynamic approach and is 50 times more computationally efficient for our test scenario.
The new method maintains a 3rd order error even with these additional terms and models the equation in all three spatial dimensions and time.
The local rectangular refinement (LRR) method maintains orthogonality at grid-line intersections but lifts the tensor product restriction common to traditional grids, producing unstructured grids.
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