Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
Abstract: Dictionary learning is widely used in fault diagnosis due to its strong representational capability. However, weak high-speed bearing fault signals are dense in the time domain and sparse in ...
Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...
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