A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area

Published:2023-09 Issue:5 Volume:14 Page:101621
ISSN:1674-9871
Container-title:Geoscience Frontiers
language:en
Short-container-title:Geoscience Frontiers

Author:

Liu Songlin,Wang Luqi,Zhang Wengang^ORCID,Sun Weixin,Fu Jie,Xiao Ting,Dai Zhenwei

Funder

National Key Research and Development Program of China

High-end Foreign Experts Recruitment Plan of China

Chongqing Municipal Education Commission

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference41 articles.

1. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?;Achour;Geosci. Front.,2020

2. Deep learning-based landslide susceptibility mapping;Azarafza;Sci. Rep.,2021

3. The use of the Slip Circle in the Stability Analysis of Slopes;Bishop;Geotechnique,1955

4. Innovative approaches to landslide hazard and risk mapping;Brabb;Int. J. Rock Mech. Min. Sci. Geomech. Abstr.,1987

5. Bagging predictors;Breiman;Mach. Learn.,1996

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models;Geoscience Frontiers;2024-11

2. Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules;GEOSCI FRONT;2024

3. Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules;Geoscience Frontiers;2024-11

4. Physics-informed and data-driven machine learning of rock mass classification using prior geological knowledge and TBM operational data;Tunnelling and Underground Space Technology;2024-10

5. Predicting the strut forces of the steel supporting structure of deep excavation considering various factors by machine learning methods;Underground Space;2024-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3