Sentence examples for data generation systems from inspiring English sources

Exact(2)

Once established, though, it is difficult to change the structure and change the purpose, but for large-scale data generation systems, logically centralised services offer significant advantages.

In Belgium, various large and important data generation systems are in place that could provide the data required for calculating DALYs.

Similar(58)

Here we explore the various types and modes of data generation in cyber systems and consider a few of the most basic string analysis tools that are widely used to ensure system safety.

The need to obtain a better value from the large investments in data generation from biological systems was discussed by Phillip Bourne.

This applies for example to CAD and GIS tools for data generation and collection, database systems for storage, visualisation tools, thermal simulation packages, etc.

Lack of contiguous spectrum resources and the compatibility requirement with the legacy systems make the concept of carrier aggregation (CA) a practical means for supporting high data rate in next generation systems.

Open image in new window Fig. 3 Sectional view of a concrete slab (specimen 1), and data acquisition and signal generation systems for surface wave measurement using surface-mount sensors (a), and b isometric view of the concrete specimen 1.

Open image in new window Fig. 4 Isometric view of a concrete beam (specimen 2), and data acquisition and signal generation systems for surface wave measurement using surface-mount sensors (a), sectional view of the specimen 2 (B-B′), and (c) sectional view of the specimen 2 (C C′).

6 The systems of data generation, gathering and utilization depend, among other factors, crucially on the level and social framework of development.

Key binding and generation systems use helper data, which is public information, about the biometric template for verification.

The main idea is to provide a common formatting system for data generation, extraction, curation, model estimation and validation.

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