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We show from these figures that our method can accurately track each source trajectory.
Moreover, the statistical scenarios forecasting method can accurately estimate the characteristics of wind power ramp events.
As we can see from the above discussion, our method can accurately evaluate the vehicle nodes.
Simulation results show our method can accurately validate the vehicle node.
The method can accurately predict the size of the stagnant of voids.
The proposed method can accurately and dynamically calibrate the deterministic errors of the IMU.
The experimental results show that the proposed method can accurately predict human perceptual image quality.
The suggested method can accurately classify and discriminate normal (Normal) and abnormal heartbeats.
Experimental results demonstrate that our method can accurately detect players under challenging conditions.
In other words, our method can accurately estimate the corresponding terrain interferometric phase in the presence of the local misregistration.
As seen in the figure, the EMFT method can accurately capture the + 1 order when the carrier frequency is high.
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