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Different datasets were used to test the GRNN.
Two multi-temporal scene datasets were used to quantitatively evaluate the proposed scene change detection approach.
Real APY-6 SAR datasets were used to test the adaptive optimal Kernel (AOK) to analyse the ground target oscillations.
Long-term precipitation datasets were used to analyze drought severity, while field interviews were conducted with household respondents using semistructured questionnaires.
PET datasets were used to calculate perfusion (ml/g/min) via K 1, and MR datasets to calculate relative perfusion values via h(t = 0) as described above.
National datasets were used to calculate all indicators to enable a systematic way of assessing community exposure over large areas with overlapping jurisdictions.
The experimental EBSD measurements are collectively analyzed, whereby datasets were used to obtain grain boundary mobility and grain aspect ratio with respect to grain boundary misorientation.
In this study, green metrics calculated based on multisource spatial datasets were used to quantify the spatial distribution of different types of urban greenery in Hartford, Connecticut.
Five datasets were used to evaluate the performance of the GLAM model.
Large biological datasets were used to tune the classification, and statistical tests demonstrated that the MEC classes are biologically distinctive.
MS/MS datasets were used to search the spectra against the human subset of the Swiss-Prot database[43].
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CEO of Professional Science Editing for Scientists @ prosciediting.com