Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes
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Title
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes
Authors
Keywords
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Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 117, Issue -, Pages 105547
Publisher
Elsevier BV
Online
2022-11-05
DOI
10.1016/j.engappai.2022.105547
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