Temporal detection of sharp landslide deformation with ensemble-based LSTM-RNNs and Hurst exponent-Reference-Cited by-同舟云学术

Temporal detection of sharp landslide deformation with ensemble-based LSTM-RNNs and Hurst exponent

Author:

Li Huajin¹²,Xu Qiang²,He Yusen¹³,Fan Xuanmei²,Yang He¹²,Li Songlin²⁴

Affiliation:

1. School of Architecture and Civil Engineering, Chengdu University, Chengdu, Sichuan, China

2. State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, Sichuan, China

3. Data Analysis and Social Inquiry Lab (DASIL), Grinnell College, Grinnell, IA, USA

4. Department of Natural Resources of Guizhou Province, Guiyang, China

Funder

the Science Fund for Innovative Research Groups of the National Natural Science Foundation of China

the Major projects of the National Natural Science Foundation of China

he Opening fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

Miaozi project” of scientific and technological innovation in Sichuan Province, China

the Project of remote sensing identification and monitoring of geological hazards in Sichuan province, CN

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

Reference57 articles.

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