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In that sense, datasets were divided according to a reliability criteria: (i) OncomirDB (40) as a manually curated database (highly reliable), (ii) miRecords (39) as a partially curated dataset (medium reliability) and (iii) a combined dataset comprised two text mining prediction sources, mirTarbase (38) and Tarbase (37), as low reliability.
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We perform experiments with six popular ConvNets using three remote sensing datasets.
The primary emphasis of the program will remain on using remote sensing datasets for LCLUC research.
The distributed Kinects report the sensed datasets to a VR server via a WiFi network.
To evaluate the performance of the proposed method, two remotely sensed datasets were used.
The results obtained with this experiment are used to verify and improve our interpretations of current optical remote-sensing datasets.
Acquired global remote sensing datasets require ground reference data in order to calibrate them and assess their quality.
We analyzed two remote sensing datasets: the MODIS Snow Cover product and the NASA MEaSUREs Global Record of Daily Landscape Freeze/Thaw Status dataset derived from SSM/I and SSMIS.
The three remote sensing datasets show generally similar but distinctive performances in characterizing the two key variables over various land cover types.
In order to establish such a long-term continuous monitoring of diverse regions around the world, time series analyses of remote sensing datasets time series approaches are required.
The sensed datasets simulate long-term interaction results for ubiquitous computing researchers, reducing the testing costs associated with smart house architecture evaluation.
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