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This investigation acquired new data, which needed to be compared with data from investigations since the early 1970s to re-evaluate the consequences of past anthropogenic influence.
The automated data extraction from PATENTS resulted in a number of systematic errors in the data, which needed to be cleaned and filtered.
The port of Antwerp provided us with three sets of data which needed to be combined in order to arrive at a complete set of bunker data per ship type.
Because of the huge amount of data which needed to be stored, cataloged and available for everybody involved, even on the other side of the world, a new cloud computing and Digital Asset Management (DAM) system named Gaia was created by Microsoft especially for Avatar, which allowed the crews to keep track of and coordinate all stages in the digital processing.
The final data flow of the implemented segmentation technique is presented in Figure 3. Due to the huge amount of data which needed to be processed, the proposed algorithm/segmentation technique was implemented using a parallel approach making use of the independent computing units (cores) available on current processors.
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In practical applications of pattern recognition, there are often diverse features extracted from raw data which needs recognizing.
Beamtime for macromolecular crystallography at MacCHESS is likely to generate lots of data which needs to be transported back to the home lab.
It allows a flat business model across the electrical industry and minimizes the amount of the data, which needs to be exchanged.
Some of the models are based on the steam water data which needs to be validated for the dryout prediction under BWR conditions.
In addition to this, modern systems impose the intelligent management of a huger amount of data, which needs to be properly coordinated to achieve higher performances and offer new energy-control services.
(Types of technologies available for use in the preparation of gold standard data are described in the section Preparation of Gold Standard Data.) Some of the techniques used to generate the gold standard data produce raw data, which needs to be analyzed (f); other techniques directly produce the gold standard data (g).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com