Sentence examples for a method that merges from inspiring English sources

For HCLUST, we used a method that merges clusters having the lowest average distances.

In this work we evaluated the different scales associated with the processes involved in secondary electrospray ionization (SESI), and developed a new numerical method that merges the analytical solution that describes the angle of aperture and the current of an ideal electrospray, with a finite element method that enables the evaluation of complex geometries.

We present a novel data fusion method that merges the data from different sources for a given area and time, ensuring the best data quality.

This study presents a simple Taylor skill fusion (STS) method that merges five Landsat-based ET products and directly measured ET from eddy covariance (EC) to improve the global estimation of terrestrial ET. The STS method uses a weighted average of the individual ET products and weights are determined by their Taylor skill scores (S).

We also examine the recent and growing implementation of combinatorial methods that merge catalyst design with in situ spectroscopic techniques and computational methods to develop new approaches to understanding the correlation between catalyst structure and activity.

We introduce a declumping method that effectively separates merged spines using intensity gradient information.

The proposed method is a hybrid technique that merges the features of co-evolution and Nash equilibrium with a ε-disturbance technique to eliminate the stagnation.

We use a progressive design method based on a dynamic process that merges concept generation, technology benchmarking and activity design into continuously enriching actions.

In this work, a novel approach that merges meta-heuristic algorithms with the Normal Boundary Intersection (NBI) method is introduced.

The proposed method is a fusion method that obtains the phase-to-height relationships for each pixel using the LUT method and merges them into one equation to apply to all of the pixel points.

The RWR algorithm is a typical data integration method that uses a mixed network, where vertices and edges of several biological networks are simply merged together, while our methods integrate different networks separately.