4.7 Article

A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy

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Summary: This paper analyzes the composition, characteristics, and contamination of concrete dam deformation monitoring information, and proposes a new multi-value missing data completion method to improve the accuracy of analysis and pattern prediction of concrete dam deformation behaviors. A case study is conducted to validate the proposed method.

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