SHAP-enhanced interpretive MGTWR-CNN-BILSTM-AM framework for predicting surface subsidence: a case study of Shanghai municipality
Crossref DOI link: https://doi.org/10.1038/s41598-025-95694-4
Published Online: 2025-06-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wen-Jiang, Long
Xue-Xiang, Yu
Ming-Fei, Zhu
Li, Xue
Guang-Hui, Zhang
Lin-Lin, Wang
Text and Data Mining valid from 2025-06-05
Version of Record valid from 2025-06-05
Article History
Received: 25 November 2024
Accepted: 24 March 2025
First Online: 5 June 2025
Declarations
:
: The authors declare no competing interests.