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Amiato is certainly going up against some big names in the data processing space, but sometimes it takes a fresh team to tackle something in just the right way.
Second, existing datasets are often inconsistent in time (e.g. due to changes in survey methods or data processing), space (e.g. political boundary changes), or map legends, requiring substantial homogenization efforts.
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Principal component analysis based on Hebbian learning is originally designed for data processing in Euclidean spaces.
It should be noted that the combined figure of merit (CFOM) based on the statistical distribution of the normalised structure factors (〈| E – 1|〉) for 1b2 slightly favoured the space group choice of C2/ c versus C2; thus, it was necessary to force data processing in the latter space and respective point group.
Nevertheless, all developments are directly transferable for the space data processing scenario.
For example, emerging technologies such as drones bring up a host of privacy issues that extend beyond data collection to encompass data processing, the potential for private space to become public, to infringe on bodily privacy (eg an image captured in someone's garden while they're sunbathing).
There are several challenges remaining in the area of superspreader identification, especially for high speed networks, exhibited by the trade-offs among three critical requirements, which are (1) fast data processing speed, (2) low memory space, and (3) high accuracy.
The chapter also presents a different method by looking into the design of a neural network as an approximation problem in a high-dimensional space because data processing in a radial basis function neural network is quite different from standard supervised or unsupervised learning techniques.
However, since the twinning was not perfect, it did not affect the data processing by mimicking a higher space group.
As technology improves and costs are lowered in tandem, GPS tracking for sea turtles and other marine animals will undoubtedly become more feasible but for now, Argos tracking may represent the most cost effective option in many scenarios [37], particularly when used in conjunction with data processing techniques such as state-space modeling [81].
Chemical processes > Data processing.
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