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Open Access

Peer-reviewed

Research Article

Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm

Ming-zhou Lv,

Roles Formal analysis, Validation, Writing – original draft

Affiliation School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, China
⨯
Kun-lun Li,

Roles Resources, Writing – review & editing

Affiliation Zhenan Comprehensive Engineering Surveying and Mapping Institute, Lishui, China
⨯
Jia-zeng Cai,

Roles Data curation

Affiliation Zhenan Comprehensive Engineering Surveying and Mapping Institute, Lishui, China
⨯
Jun Mao,

Roles Data curation, Visualization

Affiliation Zhenan Comprehensive Engineering Surveying and Mapping Institute, Lishui, China
⨯
Jia-jun Gao,

Roles Conceptualization

Affiliations School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, China, Hangzhou Guowei Construction Engineering Corporation Limited, Hangzhou, China
⨯
Hui Xu

Roles Methodology, Supervision

* E-mail: xuhui@zstu.edu.cn

Affiliation School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, China

https://orcid.org/0000-0001-9283-8975

⨯

Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm

Ming-zhou Lv,
Kun-lun Li,
Jia-zeng Cai,
Jun Mao,
Jia-jun Gao,
Hui Xu

x

Published: May 21, 2025
https://doi.org/10.1371/journal.pone.0323487

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