Sentence examples for approach can utilize from inspiring English sources

The simulation approach can utilize the vast and diverse genetic information, predict the cross performance, and compare different selection methods.

An agent constructed with this approach can utilize context sensitive actions, "servo" style actions, and other intuitively efficient ways to manipulate its environment.

Compared with the conventional hard decision based IPCs, the proposed approach can utilize the spectrum more efficiently while protect the PUs from unacceptable interference.

Our analysis showed that the MIL3D approach can utilize subtle structural similarities when a strong sequence consensus is not available.

Our analysis showed that the MIL3D approach can utilize subtle structural similarities when a strong sequence consensus is not available and demonstrated the encouraging potential of using MIL and structural properties of DNA to study molecular regulatory networks.

These evidences demonstrate that our approach can utilize the limited observed data to infer the signal transduction of the full network, even though the state of certain nodes are not observed.

Distributed approaches can utilize local data by partitioning the network according to such factors as the electrical properties of the network and the forecast power flow [28, 29, 30].

Both bottom up and top down approaches can utilize networks or more specifically spatial networks [9], in the simplest case to represent the road network, but also more sophisticated network methods can be incorporated in a traffic model [10], to focus on the network itself, rather than the vehicles using the road network, which can significantly speed up computation time [11].

Researchers have speculated that less invasive bronchoscopic approaches can utilize these principles of isolating and deflating the diseased, hyper-inflated regions to improve lung function and symptoms while avoiding the risks associated with LVRS.

Here, we discuss how computational machine learning approaches can utilize hidden interactions among panels of the genetic and other risk factors, predictive of the individual disease risk by means of implementing genetic feature selection procedures and network-guided predictive models.

The novel aspects of this work are: (i) development of a modified EKF approach that can utilize measurements of both algebraic and differential states, (ii) development of a recursive approach for the inclusion of constraints, and (iii) development of approaches that utilize unscented sampling in state and parameter estimation of nonlinear DAE systems; this has not been attempted before.