Sentence examples for deployment of computational from inspiring English sources

In conclusion, we elaborate on several key future research topics with the potential to accelerate the progress and deployment of computational intelligence based Co-WIDPSs.

Through its flexible Graphical User Interface, Gibbs allows rapid deployment of computational thermodynamic applications with intuitive user interfaces, and through the developed viewers, direct visualization and analysis of data can be readily performed for those physical properties that are relevant for the problem at hand.

In addition to concepts and analysis tools, we naturally see the wide deployment of computational tools and methods such as BLAST and databases such as GenBank.

In this context, an efficient availability of the data in the sites where the computational resources are located becomes a major architectural issue for the deployment of ITER computational infrastructure.

To accelerate the commercialization and deployment of carbon capture technologies, computational fluid dynamics (CFD -based tools may be used to model and analyze the performanCFD -basedon captoolsdevices.

However, accurate indoor positioning systems still present high costs in terms of hardware price, deployment expenditures, computational cost, and complexity, especially for very accurate solutions, such as UWB.

In an increasing number of applications, the successful deployment of novel materials has benefited from the use of computational methodologies, data descriptors, and machine learning.

However, the key difference is that its scope does not extend to considering the deployment of blocks within a workflow across a set of computational resources, as this paper does.

This article reports the first conclusions from the ActivePapers project, whose goal is the development and application of a computational platform that allows the publication of computational research in a form that enables installation-free deployment, encourages reuse, and permits the full integration of datasets and software into the scientific record.

Deployment and preservation are difficult for the same reason: the enormous diversity and fast rate of change of computational environments.

The development of computational ecosystems which will be successful in bringing about a democratization of bioinformatics research requires the deployment of modular analysis pipelines that allow each new tool to exploit existing computational resources, architectures, and curated data sets.