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The experimental results demonstrate the accuracy of the proposed approach, with average errors of 0.07 for both the degree of anisotropy and tensor norms.
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Results obtained corroborate the robustness of the proposed approach, with an average relative error in frequencies of 1.2% and an average modal assurance criterion of 0.91.
According to an independent evaluation carried out by the consultants Ernst and Young, the FDAC approach keeps significantly more families together than the traditional approach, with an average saving of £76,000 a family over three years.
ROCSSC is the best 3D-based approach with an average rank of 5.0, and, therefore higher ranked as the 2D-based approaches MOLPRINT2D (6.0) and the MACCS keys (7.0).
Together the multiple Lyapunov functions (MLFs) approach with the average dwell time (ADT) technique, new design conditions for the hybrid controllers are obtained.
To tackle the chance constraints, we demonstrate a stochastic approach with sample average approximation method for secondary users to obtain the feedback information from primary links when channel gains are uncertain.
For the regression approach with raw average subtraction (EMCPs) the residual mean mutual information was higher, and it was highest for uncorrected data.
For cluster analysis, we used a hierarchical approach with the average linkage-method.
Compared to this in vivo chromosome doubling treatment, the survival rate was generally higher for the in vitro colchicine approach with an average survival rate of 67.9%.
The latent-class trajectory approach with the average and the variance of adherence offers the advantage of showing that the effects of the variance may change according to the level of the average and avoids enforcing a specific form to the link between average and variance.
However, the handover delay of HPAA is superior to JSEN, even approaches AODV with average 0.6 s higher, due to the introduction of CBS, shared-key negotiation method, and other optimizations during the handover authentication procedure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com