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Open Access

Peer-reviewed

Research Article

Monitoring and early warning of a metal mine tailings pond based on a deep learning bidirectional recurrent long and short memory network

Zhanjie Jing ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

* E-mail: qhnujzhj@163.com (ZJJ); xiaohonggao226@163.com (XHG)

Affiliations Department of Geographic Information Science, Qinghai Normal University, Xining, China, Institute of Resources and Ecology, Yili Normal University, Yining, Yili Kazakh Autonomous Prefecture, China, College of Biology and Geography Sciences, Yili Normal University, Yining, Yili Kazakh Autonomous Prefecture, China, Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University
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Xiaohong Gao

Roles Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: qhnujzhj@163.com (ZJJ); xiaohonggao226@163.com (XHG)

Affiliations Department of Geographic Information Science, Qinghai Normal University, Xining, China, Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University

https://orcid.org/0000-0003-0288-4295

⨯

Monitoring and early warning of a metal mine tailings pond based on a deep learning bidirectional recurrent long and short memory network

Zhanjie Jing,
Xiaohong Gao

x

Published: October 13, 2022
https://doi.org/10.1371/journal.pone.0273073

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