Sentence examples for improving the filtering from inspiring English sources

Badgeville is currently working on improving the filtering algorithms for this stream, to better highlight the activity that would be most interesting to a given user.

Authors hypothesize that this approach may allow identification of frequent and consistent epistatic effects at the expense of lower test power, improving the filtering of false positive results at the expense of increasing false negative rate.

The Stackhouse helmet has an additional filter in front of the fan, which improves the filtering capacity for 0.12-μm particles to 99.6%, according to its manufacturer.

The latter is an air injection nozzle with two circumferential slits, which was newly designed in this study to introduce large volumes of cleaning air with a small amount of compressed air, thereby significantly improving the filter cleaning efficiency.

Since genetic algorithms possess the global-searching capability for an optimal solution, they are able to effectively optimize GFHM filters to improve the filtering performance.

Outstanding six-pole channel filters with a high out-of-band rejection are realized by utilizing a double-folded resonator and suppressing nonadjacent couplings on the basis of coupling analysis to improve the filtering performance of the diplexer.

Two methods are entropy based and quantify the geometric disorder (eigentropy) in order to improve the filtering of data and thereby remove points that are likely to provide spurious associations.

To improve the filtering capability some variants of BLLMS, Block Normalized LLMS (BNLLMS) and Block Error Normalized LLMS (BENLLMS) algorithms are implemented in both time domain (TD) and frequency domains (FD).

By adjusting or restraining the impacts of the current observations on the parameter estimation using the fading factor, an adaptive filter makes full use of the current observations to improve the filtering accuracy (Chang & Liu 2015).

For INF and SLICE, the major cost in Fig. 7a is filtering phase whereas PRE which improves the filtering phase by one time faster by pre-computing guardian sets narrows the difference between two phases.

This finding demonstrates that the practical optimization algorithm can help to improve the filtering to obtain the brain activation signals.