Sentence examples for database analytical from inspiring English sources

Based on the large obtained experimental database, analytical analyses were implemented to correlate and predict mechanical properties of self-compacting concrete reinforced with recycled carbon fibres.

Based on its functional characteristics, this system is composed of four parts: an information database, analytical modules, an intelligent decision-making sub-system and a friendly user interface.

In this paper, we present the solutions developed to analyze the tumor immunological microenvironment in humans including database, analytical tools, and tools for visualization.

Depending on your experience and interests, you can start by choosing the broad areas like databases, analytical modelling and visualisation tools and then focusing on one or two leading languages and platforms.

It not only supports core database workloads, but also runs in-database analytical workloads and manages the entire lifecycle using a single engine.

To date, multiple technologies have evolved to address specific data management needs, including operational databases, analytical databases, data warehouses, data integration platforms, search engines and so on.

There aren't many people on the planet who have the historical perspective that he has, putting aside his database and analytical abilities.

to establish database and analytical tools for the TRU- and LLFP- containing fuel and core design.

Late last year the Harlem Children's Zone, a nonprofit group serving families in some of New York's most impoverished areas, rolled out a system that uses bar-code scanners and ID cards to track children in its day-care programs as they move to different activities and to monitor their developmental progress using database and analytical software.

Concerning the obtained large experimental database, an analytical analysis was performed by using regression analysis to investigate the correlate between the impact and mechanical properties of self-compacting concrete reinforced with recycled steel fibers.

The results here highlight the utility of using third-party verification to improve data quality of self-reported data, and identified the logistical, database, and analytical challenges to effectively monitor fishery quotas.