A protein dataset was established for the GB calculations (referred to as the GB dataset).
Thus, through sufficient sample training, the more effective SVR model of JLUBR-IRIS dataset was established.
Before that, a training dataset is established, which contains a mass of pattern elements with various blurring and distortions.
Then, with the developed device, a large-scale palmprint image dataset is established, comprising 12,000 images collected from 600 different palms in two separate sessions.
To evaluate the performance of the proposed KMSM, a driver action dataset was established that included 10 tractor drivers and 5 types of action that denote inattention.
A structure activity relationship within the dataset was established by correlating the effect of aromatic ring substituent constants, structural variables and physico-chemical descriptors with in vivo anti-inflammatory activity.
For further improving the matching performance and tackling distortions such as varying illuminations and unfocused blurring, a pore-to-pore correspondences dataset is established for training a more distinctive and compact descriptor.
According to the description of the database, one dataset was established by a ten-word experiment (39 characters) and it was used for training; the other was obtained from an eight-word experiment (31 characters) and was used for testing.
While this may not always be feasible, as the potential value of data is often unclear until a particular need arises or a link to another dataset is established, data subjects should nonetheless be made aware when future research applications are foreseen, and about the general possibility of data re-purposing for DE.
A dataset was established of the minimal number of parameters that need be reported when calculating a drug-dosing regimen.
The Arabidopsis stigma dataset was established by cDNA subtraction and microarray analysis of stigma tissues [ 11, 12].
