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Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China)
Research article (Remote Sensing, 2023) · cited 31× · AI/ML
Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China)
Summary
Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China) is a scholarly article[1].
Key Facts
Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China)'s instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China). Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-mine-subsidence-based-on-insar-technology-and-the-lstm-algorithm-a-case-study-of-the-shigouyi-coalfield-ni
MLA“Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-mine-subsidence-based-on-insar-technology-and-the-lstm-algorithm-a-case-study-of-the-shigouyi-coalfield-ni.
BibTeX@misc{4ortxyz_prediction-of-mine-subsidence-based-on-insar-technology-and-the-lstm-algorithm-a-case-study-of-the-shigouyi-coalfield-ni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China)}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-mine-subsidence-based-on-insar-technology-and-the-lstm-algorithm-a-case-study-of-the-shigouyi-coalfield-ni}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of Mine Subsidence Based on InSAR Technology and the LSTM Algorithm: A Case Study of the Shigouyi Coalfield, Ningxia (China) — https://4ort.xyz/entity/prediction-of-mine-subsidence-based-on-insar-technology-and-the-lstm-algorithm-a-case-study-of-the-shigouyi-coalfield-ni (retrieved 2026-05-24)
