Machine Learning-Based Slope Failure Prediction Model Considering the Uncertainty of Prediction-Reference-Cited by-同舟云学术

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Machine Learning-Based Slope Failure Prediction Model Considering the Uncertainty of Prediction

Published:2023-06-29 Issue: Volume: Page:
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Container-title:MAIREINFRA 2023
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Author:

Choi Junhyuk¹^ORCID,Cho Yongkyu²,Kim Yongjin³,Kim Yongseong⁴,Ji Bongjun⁴

Affiliation:

1. Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea

2. Department of Industrial Engineering, Kangnam University, Yongin 16979, Republic of Korea

3. Smartgeotech, Chuncheon 24341, Republic of Korea

4. Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/36/1/6/pdf

Reference13 articles.

1. Instrumented model slope failure due to water seepage;Orense;J. Nat. Disaster Sci.,2004

2. Bayesian machine learning-based method for prediction of slope failure time;Zhang;J. Rock Mech. Geotech. Eng.,2022

3. Vasavi, S. (2016, January 12–13). Extracting hidden patterns within road accident data using machine learning techniques. Proceedings of the Information and Communication Technology, Singapore.

4. Slope stability assessment using stochastic rainfall simulation;White;Procedia Comput. Sci.,2012

5. Image-data-driven slope stability analysis for preventing landslides using deep learning;Azmoon;IEEE Access,2021

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