Sentence examples for easy implementation for from inspiring English sources

The CAD is numerically implemented using finite difference scheme because of its easy implementation for 2D digital image.

The model has a modular structure that allows easy implementation for parallel computing.

The most popular reconstruction method for cryoET due to its speed and relatively easy implementation for large volumes is weighted back-projection (WBP), a real-space equivalent of the central section theorem (Gilbert 1972; Radermacher 2007).

The utilization of the polarization information for RSNs attracts relatively little attention than the waveform design, while our work tries to exploit the polarization information of the electromagnetic (EM) waves for RSNs, and we expect to seek an effective and easy implementation for RSNs to mitigate the interferences based on the use of the polarization information.

Most of these algorithms only require the protein primary sequence as the input, allowing their easy implementation for the large-scale analysis of protein sets [1], [21], [22], [23], [24], [25], [26], [27].

The central geographic location of NCATSU between Wake Forest University, University of North Carolina Chapel Hill, Duke, and North Carolina State University provides easy implementation for several-day visits and field trips during the academic semesters with collaborating laboratories on our projects.

Performance charts for practical applications have been developed for easy implementation of the design methodology for the designers of hydraulic capsule pipelines transporting capsule of different shapes.

The strength of the model is its modular construction, allowing for easy implementation of different production methods and case studies.

Development of this software was launched for easy implementation of a data acquisition system but it is extended to as a Standard Framework (SFW) of control system in KSTAR.

This section demonstrates by example how the NCRAWL framework allows for easy implementation of scheduling algorithms.

Our goal for the work presented here is to create a software platform that allows for easy implementation of advanced reconstruction algorithms in a non-slice-based setting, that is scalable from a single workstation to a medium-sized computing cluster.