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The number of classes is typically of the order of 10, the fragment length k = 6 and the amount of training data of the order of 106 observations.
This results in large amounts of data, of the order of 10,000-100,000 measurements of absorbance and fluorescence and luminescence intensities per experiment.
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When dealing with massive amounts of data (on the order of terabytes or petabytes, for example), intrusion detection becomes extremely difficult, and single computers cannot handle the sheer size of data.
Transferring massive amounts of data (on the order of petabytes) to the cloud may be time consuming and prohibitively expensive.
Biomedical research institutions may need to frequently export or import large volumes of data (on the order of terabytes and soon to be petabytes) to and from the cloud.
In this paper, unique design of an optimal broadband optical dispersion flattened fiber (DFF) is proposed, which is capable of supporting the data rate of the order of Tb/s.
As a result, the TR-MIMO-UWB system achieves ultra-high data rate of the order of Gbps and keeps BER performance well.
The mean absolute error of the calculated liquid holdups for the present work and for literature data was of the order of 5%.
Pooling pixels from images of all the cells under the different treatments into one data set (of the order of 106 pixels) facilitates quantitative comparison of the results.
It can, nonetheless, be seen in data sets of the order of a hundred sequences or so.
The implementation is straightforward to use, has been optimized to handle data sizes of the order of terabytes, and is suitable for use on standard desktop computers.
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