Predicting Surface Subsidence in Northern Huainan Based on a Hybrid LSTM–Transformer Model

As one of the world’s primary energy sources, coal has driven economic development but has also led to severe surface subsidence. Currently, many regions around the world face significant ground deformation risks due to ongoing or legacy mining activities. Accurate monitoring and trend prediction ar...

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Principais autores:	Jia Xu, Hao Tan, Roucen Liu, Jinling Duan, Mingfei Zhu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-11-01
Serija:	Applied Sciences
Teme:	land subsidence SBAS-InSAR technology LSTM–Transformer model subsidence prediction
Online dostop:	https://www.mdpi.com/2076-3417/15/21/11780
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