Sentence examples for extensive testing with from inspiring English sources

Extensive testing with all computers available to us was made (data not shown).

Historically, because RCF is a stochastic process, extensive testing with subsequent statistical analysis is required to calibrate models that enable confident prediction of expected bearing service life.

Extensive testing with a prototype testbed system in densely populated areas shows that the SmartITS system can seamlessly track user trajectories in indoor and outdoor stretches with a high aggregate location accuracy which is up to 44.49% more accurate than the simple GPS based location tracking system.

One officer described it as: The resolution of the problem involved extensive testing with various fin configurations.

This requires a stream of tests, including extensive testing with consumers (sensory and taste tests) (Tuorila and Monteleone, 2009).

Our philosophy in developing ThunderSTORM has been to offer an extensive collection of processing and post-processing methods, which were developed based on extensive testing with both real and simulated data.

My father, an engineer in the Army Corps of Engineers, was working in the concrete lab at McNary, and they did extensive tests with thousands of three-inch tetrahedrons in a model channel.

The results of extensive tests with data indicate the superiority of the proposed EOS-analog viscosity and thermal conductivity correlations over typical empirical and semi-empirical correlations used in the petroleum industry.

The results were obtained with a fully self-contained system where extensive tests with an overall length of more than 6.4 km and 150,000 localization cycles have been conducted.

In fact, MO-GP is able to find several sets of Pareto optimal operators, whose performance is validated on standardized procedures including an extensive test with 500 images; as a result, we could say that all solutions found by the system dominate previously man-made detectors in the Pareto sense.

Although it is not a fundamentally new approach to state estimation, extensive tests with complex atmospheric models have shown that it is computationally efficient, easily parallelizable, and highly accurate [ 21, 22].