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We also analyze the perceptual impact and discuss the robustness and security issues.
Finally, we discuss the robustness and interest of this approach and we propose further in vivo studies.
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Furthermore, we discuss the robustness of DMD- and POD-based reduced-order models with respect to variations in initial conditions, permeability fields, and forcing terms.
At last, we discuss the robustness of our method and the effectiveness of the termination criterion in the experiment.
In this section, we discuss the robustness of LOA-CAST and show that it can limit the signaling overhead caused from malfunctioning/malicious nodes.
Next we apply these algorithmic results to the to reconstruct the gene order of the protochromosomes of the monocotyledon angiosperms before they underwent a whole genome duplication in Section 3. We discuss the robustness of the results and the multiplicity of solutions in Section 3.3.
The goals of this work are to (1) analyze the environmental impact of different biofuel options in different impact categories within the framework of LCA using secondary data, (2) analyze the relevance of inventory and characterization factor uncertainty in the results of carbon and water footprinting, and (3) discuss the robustness of life cycle-based comparisons of fuels.
We discuss the robustness of these results to learning, and to other forms of prioritarian social welfare functions.
Finally, we discuss the robustness of the proposed methods against countermeasures of bot developers, and consider a number of possible ways to manage the increasingly serious bot problem.
In this final section, we intend to discuss the robustness of this analysis, the implications of its findings for the problem in Venice, and possible pathways for future research.
In this section, we discuss the robustness of the set-membership NLMS (SM-NLMS) algorithm.
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