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The common-noise model produces Bayesian decoding performance as accurate as that of a model with direct coupling, but with significantly more robustness to spike timing perturbations.
A new tuning method, based on frequency techniques, is proposed, providing to the controlled system the same nominal behavior than a conventional PI controller with Smith Predictor and more robustness to variations in the system gain.
These networks are trained, validated and tested in 13 post-operative CTA volumes of different patients using a 4-fold cross-validation approach to provide more robustness to the results.
Using a modified version of Lozi map, an Improved Lozi map-based Chaotic Optimization Algorithm (ILCOA) with such features as higher stability, better escaping from the local minima, more robustness to search space size, and finer performance in comparison to the LCOA is proposed in this work.
This further gives more robustness to the control law.
Thus, it gains stronger discriminative capability and more robustness to noise and outlier features.
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Our system also offers better prediction accuracy and more robustness compared to the results obtained by Zhang et al. [23] which only reach over 80% accuracy for only two of the 16PF traits while for other 16PF traits the results are significantly lower, while in our study, we obtain satisfactory prediction accuracy for almost all 16PF traits and over 80% prediction accuracy for seven of them.
Simulations on real images by using the wavelet-based implementations demonstrate the proposed method performs very well in both watermark imperceptibility and robustness and is more robust to typical signal processes, e.g., additive noise, JPEG compression, etc., as compared with the state-of-the-art watermarking methods.
These results further underscore the value of combining a manageable number of individual markers into a panel, which in addition to having a higher sensitivity and specificity might provide a more profound robustness to a noninvasive test compared with single markers.
Defining the OTUs by sequence identity is to some extent facilitated by using near full-length 16S sequences, which provide more robustness in contrast to smaller fragments of the rRNA gene where the application of the 97 % rule would become more problematic.
This underscores the value of combining a manageable number of individually promising markers into a panel, which at least on a tissue level can achieve more robustness in addition to a high sensitivity and specificity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com