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Blocking Time with Varying Database Sizes In Fig. 10, we compare the blocking time for three approaches with different dataset sizes.
Reproducibility was determined for three approaches to defining regions-of-interest (ROIs): 1) Visual area V1 determined from prior retinotopic maps, 2) BOLD-activated voxels from a separate functional localizer, and 3) CBF-activated voxels from a separate functional localizer.
Areas under the curve (AUC) were compared for three approaches: using only clock time data, only weather data or the combination of both.
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Here Mr. Carsen has opted for two approaches, one more successful than the other.
See (Fine 2009) and (Schaffer 2009) for two approaches along these lines.
The partial longitudinal study design allowed for assessment of stability for two approaches.
We give various empirical data for ten approaches from the third LWC.
Two GPR buried object detection situation samples are given in Figures 10 and 11 for five approaches.
Table 1 Energy and utility for two approaches with MP4 penalty and VLOW load Approach Energy (KWh) Utility value LT-DTD 70.2 0.79 NOM 91 0.88.
We further furnish the confusion matrices for four approaches: STIP, STIP+BSIF-TOP, iDT, and iDT+BSIF-TOP on the SD 3 videos in Fig. 7.
Subsequently, regression calibration and simulation extrapolation were conducted on this same parsimonious model, as alternative methods for two approaches (A and B) described earlier.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com