A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data
Slope deformation prediction is crucial for early warning of slope failure, which can prevent property damage and save human life. Existing predictive models focus on predicting the displacement of a single monitoring point based on time series data, without considering spatial correlations among mo...
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Veröffentlicht in: | Neural computing & applications 2021-11, Vol.33 (21), p.14441-14457 |
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