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The images in the JLUBR-IRIS dataset were gathered under various illumination levels from indoors.
In the first stage written commentary on the secondary care requirements of the dataset were gathered from the North Thames DeNDRoN's executive board, supplemented by individual discussions with researchers within the local network.
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The additional dataset was gathered in fall 2016.
Heart sounds in the dataset are gathered from clinical as well as non-clinical sources.
A significant dataset was gathered on the sand-rich, confined, siliciclastic turbidite system of the Annot Sandstone Formation (SE France).
A dataset was gathered using a 38-4 experimental design for the development of meta-models through response surface quadratic modeling.
The second dataset was gathered from two sensors of a bluetooth-based acquisition system that measures temperature and humidity.
The second dataset is gathered from a small-size VSN testbed constructed in the Advanced Imaging and Collaborative Information Processing AICIPP) lab at the University of Tennessee.
Our dataset was gathered from two sites on north-facing slopes that capture less insolation (colder) and have shorter growing season.
Although both datasets were gathered in real-world environments, opposed to most datasets used to evaluate algorithms for human face recognition, our system performs very well and achieves promising results.
Datasets were gathered retrospectively from 283 brain or head/neck (H/N) patients (120 F, 163 M) acquired since the system installation at our center, and a manual inspection was performed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com