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Then detailed safety analysis methodologies were applied in order to evaluate the bounding sequences demonstrating that the T/H uncertainties were bounded.
The experimental results show that the proposed algorithm has found the lowest-energy conformations so far for three shorter Fibonacci sequences and renewed the results for the longest one, as well as two real protein sequences, demonstrating that the HTS algorithm is quite promising in finding the ground states for AB off-lattice model proteins.
However, BLAST analysis of all sequences confirmed the presence of P. falciparum var gene sequences, demonstrating that the TAR clones contained var gene inserts.
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Experiments on different challenging video sequences demonstrate that the proposed tracker performs favorably against several state-of-the-art trackers.
Extensive experimental results on different video sequences demonstrate that the proposed method performs favorably for detection and tracking compared with baseline methods in terms of efficiency and accuracy.
Comparison of the amino acid sequences demonstrated that the Line 0 sequences were 97.5% identical with the gp85 and gp37 of HPRS-103 and somewhat less identical with the other nine U.S. isolates.
The experiments conducted on representative test video sequences demonstrate that the proposed method provides promising results and is competitive with other state-of-the-art denoising techniques both in terms of objective metric and in perceptual quality.
Experimental results conducted on various sequences demonstrate that the proposed frame rate reduction is able to significantly improve the quality of up-sampled frames compared with other down-sampling methods.
Experimental results on three sequences demonstrate that the proposed small target detection method can not only suppress background clutter effectively even if with strong noise interference, but also detect targets accurately with low false alarm rate and high speed.
Experimental results on various test sequences demonstrated that the proposed algorithm provides reliable and accurate segmentation results.
Numerous experiments with state-of-the-art algorithms on challenging sequences demonstrate that the proposed algorithm performs well in terms of accuracy and stability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com