Sentence examples for more robust against errors from inspiring English sources

Considering that genes with co-occurring mutations tend to be functionally related, as revealed above, this result suggests that genes in a densely interacted local network structure (i.e., genes with many mutual interactions) tend to be more robust against errors (e.g., mutations) and have smaller lethality than those in a sparsely interacted local network structure.

Several studies have demonstrated that probabilistic linkage techniques are more robust against errors, and result in better linkage quality than deterministic methods [ 5- 7].

This makes PS-OCT more robust against possible errors e.g. registration errors or motion artifacts that might occur between separate measurements.

The dilation used to build masks in the plane makes the method more robust against these errors.

Since Γ is more robust against fitting errors than q, we rely on this parameter for the measurements below.

It has been shown that the MIESM in general shows a better performance and is more robust against calibration errors [38].

Under the same channel conditions, the SD broadcasting data transmitted in the PLP1 layer are more robust against channel errors than the HD broadcasting data in PLP 3 due to the lower code rate and constellation point.

Such a fact greatly motivates the use of FB-MC as a replacement of CP-OFDM, as FB-MC is more robust against synchronization errors compared to CP-OFDM.

It is also the case that GPA3 is more robust against the errors introduced in the datasets.

By using purely graph theoretical measures – the diameter of the network and the size of the largest connected component – they found that scale-free networks are much more robust against random errors than random networks but more vulnerable against directed attacks.

Using experimental results with a small-sized microphone array in a hearing aid, it is shown that the SP-SDW-MWF is more robust against signal model errors than the GSC, and that the block-structured step size matrix gives rise to a faster convergence and a better tracking performance than the diagonal step size matrix, only at a slightly higher computational cost.