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The Meta-RaPS approach outperformed most other solution methodologies in terms of percent difference from optimal.
Accordingly, our experimental results show that the proposed model outperforms other benchmark methodologies in terms of recommendation accuracy.
The results of the statistical analyses are used to validate the consistency of the proposed normalized fractional adaptive methodologies in terms of convergence, accuracy and robustness.
A summary is given to cap the essence of toughening methodologies in terms of increasing the storage or dissipation of plastic energy.
This paper provides a comparative study of the low-voltage signaling methodologies in terms of delay, energy dissipation, and energy delay product (energy×delay), and sensitivity technology process variations, and noise.
The design of the SQI aims to fulfil the Water Framework Directive requirements in terms of compliance (e.g., metrics, sampling procedure, pressure relationship, uncertainty of misclassification and comparability to other methodologies in terms of concept).
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Results are discussed focusing on testing the proposed methodology in terms of its feasibility, usability, and utility.
Stability analysis is built into the methodology in terms of either analytical conditions or "stability maps" defined herein.
The results demonstrate the superiority of the second methodology in terms of accuracy of the predicted outputs.
Similarly, constructive outcomes were reflected from the simulation of the proposed methodology in terms of reduced routing overhead, end-to-end delay, and energy consumption.
Moreover, we propose that a Utopian agenda entails an explicit alignment between these ideals, a participatory epistemology, and methodology in terms of tools and techniques in CCI practice.
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