Landslide site and landslide boundary diagram of open pit research area.
<p>Landslide site and landslide boundary diagram of open pit research area.</p>
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2025
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| _version_ | 1852020059416821760 |
|---|---|
| author | Yongxin Dai (13796385) |
| author2 | Zijian Li (339839) Jingbiao Lu (21417505) |
| author2_role | author author |
| author_facet | Yongxin Dai (13796385) Zijian Li (339839) Jingbiao Lu (21417505) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yongxin Dai (13796385) Zijian Li (339839) Jingbiao Lu (21417505) |
| dc.date.none.fl_str_mv | 2025-05-23T18:07:22Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0323650.g027 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Landslide_site_and_landslide_boundary_diagram_of_open_pit_research_area_/29141593 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Inorganic Chemistry Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified support vector machine significant destructive power rock slopes using perform global denoising improved tangent angle introducing five data lstm )&# 8211 lstm &# 8211 comprehensive technical system original monitoring data monitoring data acquisition enabling accurate prediction pit mine slopes wavelet noise reduction stage technical system monitoring data analysis landslide warning criterion pit mine noise reduction effective monitoring system demonstrates landslide events prediction accuracy noise ratios based prediction hybrid lstm sarima data two rounds trend term term memory systematically researched svm ), sudden onset successful application sliding average random forest period term paper proposes major threat long short lightgbm ), largely focused intelligent algorithm influencing mechanisms human life full process focusing solely east china driven models driven model |
| dc.title.none.fl_str_mv | Landslide site and landslide boundary diagram of open pit research area. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Landslide site and landslide boundary diagram of open pit research area.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_c7e9eeb3152abd031bd12bcfd61b8f99 |
| identifier_str_mv | 10.1371/journal.pone.0323650.g027 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29141593 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Landslide site and landslide boundary diagram of open pit research area.Yongxin Dai (13796385)Zijian Li (339839)Jingbiao Lu (21417505)BiotechnologyInorganic ChemistryScience PolicySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsupport vector machinesignificant destructive powerrock slopes usingperform global denoisingimproved tangent angleintroducing five datalstm )&# 8211lstm &# 8211comprehensive technical systemoriginal monitoring datamonitoring data acquisitionenabling accurate predictionpit mine slopeswavelet noise reductionstage technical systemmonitoring data analysislandslide warning criterionpit minenoise reductioneffective monitoringsystem demonstrateslandslide eventsprediction accuracynoise ratiosbased predictionhybrid lstmsarima datatwo roundstrend termterm memorysystematically researchedsvm ),sudden onsetsuccessful applicationsliding averagerandom forestperiod termpaper proposesmajor threatlong shortlightgbm ),largely focusedintelligent algorithminfluencing mechanismshuman lifefull processfocusing solelyeast chinadriven modelsdriven model<p>Landslide site and landslide boundary diagram of open pit research area.</p>2025-05-23T18:07:22ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0323650.g027https://figshare.com/articles/figure/Landslide_site_and_landslide_boundary_diagram_of_open_pit_research_area_/29141593CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291415932025-05-23T18:07:22Z |
| spellingShingle | Landslide site and landslide boundary diagram of open pit research area. Yongxin Dai (13796385) Biotechnology Inorganic Chemistry Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified support vector machine significant destructive power rock slopes using perform global denoising improved tangent angle introducing five data lstm )&# 8211 lstm &# 8211 comprehensive technical system original monitoring data monitoring data acquisition enabling accurate prediction pit mine slopes wavelet noise reduction stage technical system monitoring data analysis landslide warning criterion pit mine noise reduction effective monitoring system demonstrates landslide events prediction accuracy noise ratios based prediction hybrid lstm sarima data two rounds trend term term memory systematically researched svm ), sudden onset successful application sliding average random forest period term paper proposes major threat long short lightgbm ), largely focused intelligent algorithm influencing mechanisms human life full process focusing solely east china driven models driven model |
| status_str | publishedVersion |
| title | Landslide site and landslide boundary diagram of open pit research area. |
| title_full | Landslide site and landslide boundary diagram of open pit research area. |
| title_fullStr | Landslide site and landslide boundary diagram of open pit research area. |
| title_full_unstemmed | Landslide site and landslide boundary diagram of open pit research area. |
| title_short | Landslide site and landslide boundary diagram of open pit research area. |
| title_sort | Landslide site and landslide boundary diagram of open pit research area. |
| topic | Biotechnology Inorganic Chemistry Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified support vector machine significant destructive power rock slopes using perform global denoising improved tangent angle introducing five data lstm )&# 8211 lstm &# 8211 comprehensive technical system original monitoring data monitoring data acquisition enabling accurate prediction pit mine slopes wavelet noise reduction stage technical system monitoring data analysis landslide warning criterion pit mine noise reduction effective monitoring system demonstrates landslide events prediction accuracy noise ratios based prediction hybrid lstm sarima data two rounds trend term term memory systematically researched svm ), sudden onset successful application sliding average random forest period term paper proposes major threat long short lightgbm ), largely focused intelligent algorithm influencing mechanisms human life full process focusing solely east china driven models driven model |