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To address the challenge of comprehensively characterizing bearing fault features using a single sensor in complex industrial environments, a bearing fault diagnosis method integrating adaptive-poolin
Existing subnetwork-based distributed speech enhancement (DSE) algorithms merely consider single target source scenarios and do not exploit inter-subnetwork information exchange in multi-source cases,
Skeleton-based action recognition has gained increasing attention due to its robustness to viewpoint variations and background clutter. However, existing approaches still face challenges in feature mo
The safety alignment of large language models (LLMs) faces persistent challenges from jailbreak attacks. While existing methods mostly leverage prompt engineering or adversarial optimization, we ident
Lipschitz regularization controls how strongly a denoising autoencoder propagates an input perturbation to its output, and has been used for photoplethysmography (PPG) denoising. We revisit the gradie
Pillow-based ballistocardiography (BCG) enables unobtrusive cardiac monitoring, but J-peak detection is commonly learned as dense sequence labeling although the desired output is a sparse event set. T
This letter proposes LocMark, a local feature modulation-based conditional watermarking method, to address the limitation that existing watermarking methods for deepfake proactive forensics are vulner
This paper investigates the optimal sensor configuration problem for bearings-only target localization. A unified analytical model for localization accuracy is established, applicable to both 2D and 3
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.