Sentence examples for data processing methodologies from inspiring English sources
In this study, ERT technique was effectively applied for imaging solid liquid flow and developed suitable data processing methodologies.
As the volume of raw data increases traditional data processing methodologies, especially those involving manual manipulation are becoming increasingly difficult to manage.
We apply to our time series ((T_{mathrm{EU}}) and (Delta F)) the most traditional data processing methodologies such as the Fourier transform to examine their global energy-frequency distribution.
A detailed description of reaction setup, fluorescence data acquisition, and LRE data processing methodologies has been provided previously [2].
For instance, in addition to allowing inter-run performance to be monitored, it provides a performance benchmark useful for assessing differences in enzyme formulation, cycling regime, instrumentation and/or data processing methodologies.
Furthermore, absolute quantification allows decoupling of target quantification from assay implementation, such that quantitative data generated by disparate assay designs and/or data processing methodologies can be directly compared.
The electronic tongue (ET) system contains an ion selective electrode (ISE) array, with a signal recording system and data processing methodology.
The workflow data processing methodology used in the project was based on the InforSense KDE workflow system.[22] The software originated from the Grid Computing and Service Computing developed within the Discovery Net, UK e-Science Pilot Project[23].
As the technology used in the quantification of epigenetic modification is advancing in terms of throughput and coverage, the use of state-of-the-art data processing methodology is essential.
The current lack of accountability perpetuates a window of safety for vendors, some of which have real weaknesses in terms of their data-processing methodologies.
Since different research groups applied different levels of data reduction, Section 2 investigates how data-processing methodologies differed between articles.
