Sentence examples for data to overcome from inspiring English sources

Exact(20)

This study provides strong supporting data to overcome the bottleneck that limits theoretical studies on self-excited dust scrubbers.

Third, we employed a broadcast methodology in our algorithm which was based on prioritized data to overcome resource limitations.

WonderVoice's patent-pending technology leverages "big data" to overcome the problems that face other voice engines today, especially when working with real-world content.

Reference [16] uses techniques like frequency diversity and averaging multiple measured data to overcome multipath propagation and enhances the accuracy of weighted centroid localization by simple optimizations.

In this paper, we present a new architecture for gazetteers that uses VGI and Semantic Web tools, such as ontologies and Linked Open Data to overcome these limitations.

Corrections were applied to the ND data to overcome the surface effect and data reduction was performed to coherently interpret the results, including the determination of the centre-of-mass of the diffracting volume.

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They created 20 non-random data samples, each sample with 1,000 data points to overcome the problem of imbalanced data.

The goal of the Energy ADE is to provide a unique and standard-based data model to overcome, on one side, data interoperability issues among heterogeneous energy-related applications, and, on the other side, to allow for both detailed single-building energy simulations and city-wide bottom-up energy assessments, with particular focus on buildings.

The amount of data required to overcome this sample heterogeneity made high-throughput data collection indispensable for the detection of a wide range of 30S assembly intermediates.

The Earth gravitational Model EGM2008 which integrates terrestrial and satellite gravity data enables to overcome the sparseness in gravity maps due to lack of data.

Strengths of this study include the use of different data sources to overcome limitations of the retrospective design (i.e. misclassification of CTS diagnosis and missing data).

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