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The initial methods are due to Henkin [17, 18] and Ramirez [33]; a later approach is in Kerzman Stein [21], which is the one we adopt here.
It is shown that discrepancies between the results of dealiased spectral and standard nondialiased finite-difference methods are due to both aliasing and truncation errors with the latter being the leading source of differences.
Note that the lower values of SSIM for the GLP and AW methods are due to the ratio between band 4, which has a spatial resolution of 20 m per pixel, and the PAN image, which covers 5 m per pixel, while the three first bands have a spatial resolution of 10 m per pixel.
Thus, the differences seen between those two methods are due to the repetition of the process.
The improvements offered by MoRFpred, when compared to prior methods, are due to the use of large dataset and novel architecture that combines SVM-based predictions with alignment and which uses a comprehensive and well designed feature-based sequence representation.
To determine whether the observed yield differences between the CEK and CPK methods are due to differences in the method of cell counting (manual vs semi-automatic), we compared CTC counts obtained using the automated CEK method with that of a manual cell count of the same sample.
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A commission assessment of alternative methods is due to report in early 2011, and a final decision will follow soon afterwards.
The discrepancy between two methods is due to sample preparations, irradiation facility and geometry.
The difference between the two copula-based methods is due to the type of copula being used.
The choice of geophysical methods was due to the peculiarity of the geological characteristics of the site.
The extent to which our use of non-deductive methods is due to limitations in practice rather than limitations in principle remains an issue for further investigation.
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