Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
Improving Unimodal sEMG-Based Pattern Recognition Through Multimodal Generative Adversarial Learning
Abstract: Surface electromyography (sEMG)-based pattern recognition system is a kind of instrumentation and measurement system that captures, processes, and recognizes bioelectrical signals, like ...
Abstract: In this article, a novel shared-database decentralized federated learning (SDeceFL) framework is developed for wafer defect pattern recognition (DPR). Specifically, a differential privacy ...
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