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Primarily we aimed on improvement of the mentioned techniques.
The E-beam lithography method is proposed to be superior to the mentioned techniques.
From the obtained results, it was concluded that grafting of NF TiO2 membranes by the mentioned techniques definitely decreases their fouling tendency.
The mentioned techniques are applied to the three monthly water balance models used to generate stream flow simulations for two mountainous basins in the South-West of Iran.
Finally, both the graphical and statistical comparisons were made among the temperature shift factors resulted by the mentioned techniques, and the best fit between the measured and predicted data was found for the Numerical technique, followed by Arrhenius, Williams-Landel-Ferry (WLF), Modified Kaelble, and Log-Linear methods respectively.
For each of the mentioned techniques, the main advantages and drawbacks are highlighted.
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Results obtained using the mentioned technique shows considerably good accuracy even up to 20 s of prediction interval with acceptable ratio between the under and over predictions.
We also introduce a new iterative algorithm of order six, and apply the mentioned technique to generate a new method of order ten.
Variations in the performance of the mentioned technique are then evaluated both in terms of changes in the estimated difference between the responses of the damaged and undamaged systems and in terms of deviations of the identified optimal input signal from its nominal estimation.
Given limited system response measurements and ever-present physical limits on the level of excitation, the ultimate goal of the mentioned technique is to improve the detectability of damage by increasing the difference between measured outputs of the undamaged and damaged systems.
The main disadvantage of the mentioned technique is its dependency on the number of decision variables.
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