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However, one limiting feature of the methods which have been developed is that the representation is limited to rectangular buildings.
A strong feature of the methods is the ability to handle media inhomogeneities in combination with full-tensor anisotropy and/or non-orthogonality of the grid.
This method provided stronger evidence to fully characterize the metrological feature of the methods when a small treatment effect is anticipated.
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The main feature of the method is the use of an adaptive Lagrangian grid.
A key feature of the method is its computational simplicity and efficiency.
A key feature of the method is that there is no stabilization parameter chosen empirically.
Main feature of the method is compensation of magnetometer errors by using reference distribution.
The key feature of the method is learning word representations from a large amount of text data for feature extraction.
The distinctive feature of the method is the design of the stabilization terms, which serve several purposes.
The distinctive feature of the method is the use of approximate solutions that are exactly divergence-free inside each element.
The key feature of the method is rapid matching between offshore tsunami observations and pre-calculated offshore tsunami spatial distributions.
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