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From the simulation results, the proposed approach has excellent performance in timing synchronization under several channel models at signal-to-noise ratio smaller than 1dB.
This approach has excellent sensitivity (95%, range 94-100%), but poor specificity (41%, range 19-53%) for predicting functional recovery [76, 77, 78, 79].
Experimentation shows that our joint design approach has excellent overall deployment and allocation for member nodes and cluster heads, which is very close to the optimal solution.
Extensive experiments performed on three types of palmprint databases demonstrate that the proposed approach has excellent performance in comparison with previously proposed state-of-the-art approaches.
Comparison with the existing literature or the traditional finite element method results reveals that the adopted approach has excellent accuracy and simple algorithm.
From the simulation results, the proposed approach has excellent timing synchronization and channel estimation performance under multipath fading channels with line-of-sight and non-line-of-sight propagation.
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The coarse timing and frequency offset estimation in our proposed approach have excellent performance at low SNR.
Overall, the gelatin/chitosan IPN hydrogels prepared by bienzymatic crosslinking approach have excellent biocompatibility and mechanical properties.
The new classification criteria, developed using a data-driven and decision-analytic approach, have excellent performance characteristics and incorporate current state-of-the-art evidence regarding gout.
These approaches have excellent resolving power; however, they rely on expensive and bulky equipment in addition to a well-established infrastructure and can be relatively slow with low throughput.
Our results demonstrate that the novel approach has own excellent advantages compared with other nanofabrication techniques described thus far.
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