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The analysis was iterative, and the findings were reviewed and discussed in order to reach agreement in understanding of the data.
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The study indicated concerns that HREC members were lacking in understanding of the process of data linkage.
This study utilized qualitative methods to 1) gain an in-depth understanding of the data utilized in AT planning, 2) explore the utility of Global Positioning Systems (GPS) and accelerometer data in supporting the planning process, 3) identify the benefits and barriers of researcher and transport agency collaboration, and 4) identify the facilitators to collaboration for these groups.
The analysis was iterative, and the findings were reviewed and discussed within our interdisciplinary team in order to reach agreement in our understanding of the data.
Such experiments may lead to better calibration of in situ cosmic dust analyzers, with a concomitant increase in our understanding of the data collected by these important spacecraft instruments.
With detailed explanations of each plot type, he systematically reviewed their applications and pointed out that "the use of graphic techniques in data visualization aids understanding of the data structure that would lead to an informative data analysis".
An inherent limitation of content analysis is that counts of content cannot in itself produce a deep understanding of the data, but to ameliorate this we also conducted and report a thematic synthesis.
Scaling relations for LCA in a pattern-process-product framework provided an explicit understanding of the data layers in landscape classification and where the clustering can function.
However, the combination of the lack of temporal dynamics in fMRI and the linear models that we rely upon naturally create such an understanding of the data in terms of representations, while for some functions studied, the actual neural implementation may be closer to processes[ 39] dynamically sustained information, as in theories of conscious processing [ 40].
Data quality is a major issue for OSM and VGI in general, because a holistic and deep understanding of the data creating process is needed [5 7].
While Deep Learning aids in providing a semantic and relational understanding of the data, a vector representation (corresponding to the extracted representations) of data instances would provide faster searching and information retrieval.
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