Sentence examples for approach called improved from inspiring English sources

In the present paper, a more efficient approach called "improved Subset Simulation (iSS)" approach is employed.

We have recently devised a novel approach called Improved Configurational Entropy (ICE) (Bae et al., 2008) to design more thermally stable proteins based on measures of local structural entropy (LSE).

To demonstrate the benefit of our proposed approach, which is called improved BQIGSA, a comparison between this approach and the existing methods including Binary Genetic Algorithm (BGA), Binary Particle Swarm Optimization (BPSO), the Quadrivalent Quantum-Inspired Gravitational Search Algorithm (QQIGSA) and the Binary Quantum-Inspired Gravitational Search Algorithm (BQIGSA) is given.

One is called improved algorithm based on our approach as discussed in above sections (employ the possibilistic logic approach), whereas the other is called straightforward algorithm discussed based on consistency checking problem [4].

Through this method, a new score variable which was called improved residual in the statistical local approach is constructed.

More significantly, we use novel counterfactual methods in our case, an algorithmic approach called entropy balancing to improve causal inference in the ecological intensity of human well-being literature.

An improved EKF approach, called moving-window EKF (MWEKF), is proposed in this paper after a discussion on the problems associated with the application of classical EKF in time-variant systems.

In this study, we try to develop a new weighting approach called fuzzy weighting approach to improve the positioning accuracy.

The objective of this study was to assess the effectiveness of a community approach called Timed Targeted Counselling in improving mothers' knowledge and practices of IYCF in four remote villages surrounding Bethlehem in the West Bank.

Furthermore, we also noticed that Nguyen et al. recently reported the cryoEM structure of pre-assembled spliceosomal complex and they developed an image processing approach called "multi-body refinement" to improve the density for the flexible arm domain (Nguyen et al., 2015).

To that end, MAPF first predicted both velocity and acceleration according to prior data of the tracked objects, and then used a novel approach called sub-particle drift (SPD) to improve the dynamic model when the target made a dramatic move from one frame to the next.