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Found 3 papers, 1 papers with code
Identifying critical nodes in complex networks by graph representation learning
Because of its wide application, critical nodes identification has become an important research topic at the micro level of network science.
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
In this paper, a highly efficient pruning method is proposed to significantly reduce the cost of pruning DCNN.
Tool Breakage Detection using Deep Learning
In this work, we use the spindle current approach to detect the breakage of machine tools, which has the high performance of real-time monitoring, low cost, and easy to install.
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