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Prospective results obtained through this line of researches may be also useful in systematically deriving dynamic centrality measures for temporal networks in general.
In this paper, we first evaluate these methods against the results obtained through simulation.
The knee actuation is selected based on the results obtained through the optimization approach.
The results obtained through response surface methodology were compared with those through artificial neural networks.
Numerically predicted geometries were benchmarked against actual results obtained through designed experiments.
The results obtained through field trials have been reported and found to be quite encouraging.
Results obtained through simulation show that the model achieves a high degree of accuracy.
The proposed solutions are backed by numerical results obtained through numerical simulation.
The results of the back analysis compared well with the results obtained through the GSI method.
The protocol design is presented along with performance results obtained through extensive simulations.
Also, docking study confirmed the results obtained through in vitro experiments and predicted possible binding conformation.
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