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A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study

Crossref DOI link: https://doi.org/10.1007/s12205-022-1656-2

Published Print: 2022-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Nguyen, Ba-Quang-Vinh https://orcid.org/0000-0002-9846-4289
Song, Chang-Ho https://orcid.org/0000-0003-0038-7287
Kim, Yun-Tae https://orcid.org/0000-0002-9313-976X
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Text and Data Mining valid from 2022-08-01

Text and Data Mining valid from 2022-08-01

Version of Record valid from 2024-08-20
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This article is maintained by: Elsevier

Article Title: A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-022-1656-2

Content Type: article

Copyright: Copyright © 2022 © Korean Society of Civil Engineers 2022 published by Elsevier inc. Published by Elsevier Inc.

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