Sentence examples for efficiency errors from inspiring English sources

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The PV dynamic model and entity validation showed that electric power and electric efficiency errors are smaller than 1.3%.

In this paper, we present an approach to measure the refractive index modulation of volume phase holographic gratings (VPHG) by use of its angular selectivity, with the advantage of avoiding the diffraction efficiency errors induced by noise.

For people who are blind, the application of the W3C's Web Content Accessibility Guidelines (WCAG) often might not even make a significant difference in terms of efficiency, errors or satisfaction in website usage.

Application of the cellular standard curve method markedly reduced intra- and inter-assay variability and corrected amplification efficiency errors compared with the C t) method.

Assessing synthesis efficiency, errors, failed deprotections, and chemical and enzymatic degradation of oligonucleotides on microarrays is essential for improving existing in situ synthesis methods, and for the development of new chemistries.

A mixed-method usability testing design with semi-structured interviews, task completion, and survey by trained usability moderators was undertaken with two interactive cycles to determine the usability (ease of use, efficiency, errors, and user satisfaction) of the user interface and content areas of the program.

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However, since SDM was used in order to increase the spectrum efficiency, error performance was not optimized due to the multiplexing-diversity trade-off.

The H.264/AVC standard [1] has received much attention recently because of its high coding efficiency, error robustness and network friendly architecture.

The following papers in this special issue further explore selected topics of interest addressing open issues in coding efficiency, error resilience, multiview coding, scalability, and applications beyond coding.

In spite of this modification, SFGS retains similar properties as FGS, such as the coding efficiency, error resilience, and adaptation to channel bandwidth variation.

The performance of the neural network model was evaluated from the indices of root mean square error, coefficient of efficiency, error of peak discharge, and error of time to peak.

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