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概括

本研究引入了一种新的多阶段图形卷积网络 (MSA-GCN),以解决多变量时间序列 (MTS) 分析中的数据损失. 通过学习传感器数据中的复杂,异质和动态相关性,MSA-GCN准确地归因缺失的数据.

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Time-Series Graph00:54

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Multi-input and Multi-variable systems01:22

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End Point Prediction: Gran Plot01:07

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Multiple Bar Graph01:07

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