DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes
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发表时间：2024-08-27
发表时间：2024-05-31
发表刊物：Knowledge-Based Systems
卷号：296
ISSN号：0950-7051
关键字：Adaptive feature fusion; Adaptive features; Convolution; Convolutional neural networks; Data handling; Dynamic graph; Early fault; Early fault warning; Features fusions; K-order relation; Ordering relations; Spatio-temporal; Spatio-temporal network; Temporal networks; Time series; Topology
