Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu
Summary
Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu is a scholarly article[1].
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Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu. Retrieved May 24, 2026, from https://4ort.xyz/entity/ground-subsidence-monitoring-and-prediction-based-on-insar-and-cnn-bigru-attention-a-case-study-of-chengdu
MLA“Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ground-subsidence-monitoring-and-prediction-based-on-insar-and-cnn-bigru-attention-a-case-study-of-chengdu.
BibTeX@misc{4ortxyz_ground-subsidence-monitoring-and-prediction-based-on-insar-and-cnn-bigru-attention-a-case-study-of-chengdu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu}}, year = {2026}, url = {https://4ort.xyz/entity/ground-subsidence-monitoring-and-prediction-based-on-insar-and-cnn-bigru-attention-a-case-study-of-chengdu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ground subsidence monitoring and prediction based on InSAR and CNN-BiGRU-Attention: A case study of Chengdu — https://4ort.xyz/entity/ground-subsidence-monitoring-and-prediction-based-on-insar-and-cnn-bigru-attention-a-case-study-of-chengdu (retrieved 2026-05-24)
