Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction-Reference-Cited by-同舟云学术

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Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction

Published:2023-12 Issue: Volume: Page:
ISSN:1674-7755
Container-title:Journal of Rock Mechanics and Geotechnical Engineering
language:en
Short-container-title:Journal of Rock Mechanics and Geotechnical Engineering

Author:

Mahmoodzadeh Arsalan^ORCID,Alanazi Abed,Hussein Mohammed Adil,Hashim Ibrahim Hawkar,Alqahtani Abdullah,Alsubai Shtwai,Babeker Elhag Ahmed

Funder

Prince Sattam bin Abdulaziz University

King Khalid University

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

Reference30 articles.

1. Slope Stability and Stabilization Methods;Abramson,2001

2. Application of machine learning techniques for the estimation of the safety factor in slope stability analysis;Ahangari;Water,2022

3. Design of anchorage and assessment of the stability of openings in silty, sandy limestone: a case study in Turkey;Akgün;Int. J. Rock Mech. Min. Sci.,2004

4. Discontinuous rock slope stability analysis under blocky structural sliding by fuzzy key-block analysis method;Azarafza;Heliyon,2020

5. The use of the slip circle in the stability analysis of slopes;Bishop;Geotechnique,1955

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1. Technological advancements and sustainable practices in rock slope stability – Critical review;Physics and Chemistry of the Earth, Parts A/B/C;2024-12

2. A framework for remediation prioritization of unstable rock slopes based on indirect information;Geomatics, Natural Hazards and Risk;2024-08-25

3. Slope stability prediction based on GSOEM-SV: A mobile application practicably deploy in engineering verification;Advances in Engineering Software;2024-06

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