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A support vector machine model of landslide susceptibility mapping based on hyperparameter optimization using the Bayesian algorithm: a case study of the highways in the southern Qinghai–Tibet Plateau

Crossref DOI link: https://doi.org/10.1007/s11069-024-06665-3

Published Online: 2024-05-15

Published Print: 2024-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Sun, Kai

Li, Zhiqing

Wang, Shuangjiao

Hu, Ruilin
Funding

Funding for this research was provided by:

Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0904)

National Natural Science Foundation of China (No.42177146)

Science and the Key Research and Development Plan of Yunnan Province (Grant No. 202103AA080013)
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Text and Data Mining valid from 2024-05-15

Version of Record valid from 2024-05-15
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Article History

Received: 31 October 2023

Accepted: 2 May 2024

First Online: 15 May 2024

Declarations

:

: The authors have no conflict of interest.

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