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These works demonstrate that the proposed method achieves good result.
The results show that the proposed method achieves good results when compared with the evolutionary algorithm.
Conclusions: We demonstrate through simulations that the proposed method achieves good performance in terms of Type I error control and statistical power.
Experimental results show that the proposed method achieves good performance and offers a new way to design a cost-effective real-time video coding system.
Experimental results on three generations of multicore processors show that our power profiling method achieves good accuracy in predicting program's energy use with relatively small errors.
Because each property method achieves good performance in a certain range of working conditions, it is crucial to choose the proper method to conduct the simulation.
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Proposed method achieved good results that are directly related to how neural networks define the activation function domain.
The proposed method achieved good linearity within the concentration range of 0.15 250 ng L−1 PCBs, low limits of detection (0.04 0.09 ng L−1, S/N = 3 1), good repeatability of the extractions (relative standard deviation, <12%, n = 6), and satisfactory recoveries between 84.9% and 101.0% under optimal conditions.
We showed that the Nelder-Mead method achieved good results in all experiments.
The proposed fast algorithm's simulation results showed that the proposed method achieved good encoding reduction up to 67% while maintaining negligible degradation in objective and subjective video quality.
This method achieved good restorative effects in the long term, allowing us to confirm that articular cartilage repair can be achieved during the early stage of transplantation [ 10].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com