This treats all aspects of simulation (physics, turbulence modelling, mathematics, algorithms, hardware, software, computer science, information technology, man-machine interface, overall system, data handling, applications, etc).
Its 32-bit chips, analysts say, now outperform Intel's offerings for some graphics and data-handling applications, and the 64-bit capability in its new chips could give the company further momentum in the marketplace.
The review provides a comprehensive analysis of the literature from various points of view: data handling practices, DM applications for each quality task and for each manufacturing industry, patterns in the use of DM methods, application results, and software used in the applications are analysed.
The former assessment has verified the robustness and effectiveness of the model through using a model interface in data handling within an application of an integrated earthquake simulation.
Rapidly changing needs and demands on data handling capacity challenge the application providers to consistently keep pace.
This article tells the story of more than twenty years research resulting in the development of DB4GeO, a web service-based geo-database architecture for geo-objects to support the data handling of 3D/4D geo-applications.
In fact, advances in computerized data handling should make the application of systematic optimization strategies much easier.
This review gives an overview of the progress in big-data biology, and data handling and also introduces some applications of networks and multivariate analysis in systems biology.
The paper " Systems biology in the context of big data and networks," which is a review paper, gives an overview of the progress in big data biology and data handling and also introduces some applications of networks and multivariate analysis in systems biology.
We report a newly developed open-source platform for complete NMR metabolomics data handling, MVAPACK, and describe its application on an example metabolic fingerprinting data set.
But, besides the sheer scale of equipment and deployment, there are also challenges and opportunities related to data handling and processing, as well as application integration.
