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In comparison with the existing methods, our method is aimed for increasing recognition accuracy and reliability.
The obtained results show better performance in comparison with the existing controllers.
Simulations are given to show the performance of the proposed method in comparison with the existing method.
In comparison with the existing approaches, the current method does not require any information about the sign of control gain.
In comparison with the existing PI controller, the fuzzy logic controller's performance is superior in all cases considered.
Moreover, in comparison with the existing LMMSE technique incorporating the estimation of voxelwise effective parameters, our method yields improved results.
Eight different cycles are proposed and their thermodynamic performance is investigated in comparison with the existing liquefaction systems.
Numerical results demonstrate the advantage and efficiency of our time integrators in comparison with the existing numerical approaches.
The experiment results reveal the superior performance of the present sensor in comparison with the existing sensor.
The simulation results in terms of latency and power consumption indicate the better performance of the proposed method in comparison with the existing routing methods.
In comparison with the existing methods, the improvement of the proposed method over the existing results is shown via two numerical examples.
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