Sentence examples for methods while requiring from inspiring English sources

The extended method has been found to produce fairly good agreement with the results obtained by CFD methods while requiring negligible computational effort.

In the case of the latter application, numerous experimental results on benchmark machine learning datasets show that our approach exceeds the performance of current state-of-the-art methods, while requiring a fraction of the computation time.

However, for the real noise and mixed noise, the proposed method shows comparable or sometimes higher PSNR than the nonlocal methods while requiring much less computations due to the nature of local filtering.

For inviscid gasdynamics, the nonlinear method tended to resolve discontinuities more sharply than the Roe, HLL or HLLC methods while requiring only between 30% and 50% of the execution time under identical conditions.

We verify the theoretical analysis by extensive simulations, and demonstrate that the proposed algorithm is capable of obtaining more accurate estimates than state-of-the-art high resolution methods while requiring significantly less computational effort.

Performance evaluation results show that, due to its ability of both finding good search paths and keeping diversity, this nature inspired technique can provide significantly better solutions than other heuristic methods while requiring shorter execution times.

Through various experiments on MNIST variation datasets, FCCNN achieves classifying accuracy comparable to the state-of-the-art methods while requires significantly reduced training time.

It is found that LBM provides at least as accurate solution as HR method, while requiring lower computation time.

We have catalogued a series of features using methods which, while requiring further validation, contribute to our understanding of the biology and pathogenesis of HRV A2 strains.

Performance evaluation under 3GPP LTE-Advanced environment shows the advantage of the proposed methods while not requiring any signaling overhead.

The methods are fairly straightforward while requiring consideration of carefully chosen starting values and can be implemented in most statistical software.