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Results show that a hybrid system can achieve high efficiency.
The combination system of a pupil filter and an imaging system can achieve super-resolution.
Simulation results verify that the proposed APIHNC system can achieve high-precision tracking performance.
The results show that this system can achieve the maximum throughput with low levels of delay.
Thus, AA-CAES system can achieve a higher energy storage efficiency.
Simulation results show the system can achieve about 75 80% detection rate for group portraits.
This energy system can achieve a high availability over the year.
Simulation results demonstrate that the proposed ASHNC system can achieve favorable control performance.
The authors show that the system can achieve robust locomotion and object transport, as well as light-directed movement and obstacle avoidance (Fig. 1).
Results of this investigation demonstrate that such a distributed control system can achieve vibration attenuations comparable to that of a centralized controller.
Thus, the proposed system can achieve robust several-speaker speech recognition with highly dependable online speaker adaptation and identification.
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