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Temporal detection of sharp landslide deformation with ensemble-based LSTM-RNNs and Hurst exponent
Huajin Lia School of Architecture and Civil Engineering, Chengdu University, Chengdu, Sichuan, China;b State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, Sichuan, ChinaView further author information
, Qiang Xub State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, Sichuan, ChinaCorrespondence[email protected] [email protected]
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Yusen Hea School of Architecture and Civil Engineering, Chengdu University, Chengdu, Sichuan, China;c Data Analysis and Social Inquiry Lab (DASIL), Grinnell College, Grinnell, IA, USACorrespondence[email protected] [email protected]
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Xuanmei Fanb State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, Sichuan, ChinaView further author information
, He Yanga School of Architecture and Civil Engineering, Chengdu University, Chengdu, Sichuan, China;b State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, Sichuan, ChinaView further author information
& Songlin Lib State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, Sichuan, China;d Department of Natural Resources of Guizhou Province, Guiyang, ChinaView further author information
Pages 3089-3113
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Received 06 Jul 2021, Accepted 12 Oct 2021, Published online: 02 Nov 2021
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