Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...
Abstract: Multigranularity data analysis has recently become an active research topic in the intelligent computing and data mining fields. Feature selection via multigranularity data analysis is an ...
Official PyTorch implementation of LWSDet. [Lightweight Adaptive Feature Selection Network for Enhanced Small Object Detection in UAV Imagery] Jinxia Yu, Jie Wu, Yongli Tang Abstract To address the ...
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