Sentence examples for more effective estimations from inspiring English sources

Compared with the previous version of RKD, RKD 2.0 enables more effective estimations of functional redundancy or dominance because it uses comprehensive expression profiles rather than individual profiles.

However, as the proposed method refines MVs based on reliability, more effective motion estimation can be performed.

The proposed method is more effective for estimation of the concrete damage during freezing thawing cycling in comparison with acoustic method.

A complex-valued model is adopted that simultaneously allows a simpler observability analysis of the system and a more effective state estimation.

We show that either with the originally proposed scoring method or another SNP interaction measure, the utility of replication groups should be replaced by more effective direct estimation of interaction scores from the entire data set.

Consequently, it is necessary to distinguish which filter orientation is more effective in pose estimation.

Furthermore, the distributions from the proposed class provide a more effective instantaneous frequency estimation for signals with fast varying phase function than the existing approach.

The proposed method is evaluated in an integrated navigation system, and the simulation results show that it is more effective in position estimation and fault signal detection than priori RE and FD algorithms.

Generally, the extraction in NH4Cl was more effective for metals bioavailability estimations than acid extractions, except for the prediction of Cd uptake in garlic and onion.

More effective methods of computational estimation for the whole efficacy of a compound in a complex disease system are needed, given the distinct weightiness of the different target in a biological process and the standpoint that partial inhibition of several targets can be more efficient than the complete inhibition of a single target.

Along with the development of new cancer therapeutics, more effective tools for the estimation of response to therapy and prediction of disease progression are required for the better management of inoperable cancer patients.