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A Monte Carlo Search-Based Triplet Sampling Method For Learning Disentangled Representation Of Impulsive Noise On Steering Gear
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A Monte Carlo Search-Based Triplet Sampling Method For Learning Disentangled Representation Of Impulsive Noise On Steering Gear
The classification task of impact noise on vehicle steering system mainly addresses the issue of modeling the transient and impulsive nature. Though various deep learning models including triplet network have been developed, the existing triplet network b
The classification task of impact noise on vehicle steering system mainly addresses the issue of modeling the transient and impulsive nature. Though various deep learning models including triplet network have been developed, the existing triplet network b