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A Hybrid Numerical-ML Model for Predicting Geological Risks in Tunneling with Electrical Methods

Crossref DOI link: https://doi.org/10.1007/s12205-024-0066-z

Published Print: 2024

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

Authors

Kang, Minkyu https://orcid.org/0000-0001-8205-5424
Pham, Khanh https://orcid.org/0000-0001-6566-6776
Kwon, Kibeom https://orcid.org/0000-0001-8889-1386
Yang, Seunghun https://orcid.org/0009-0004-1752-9717
Choi, Hangseok https://orcid.org/0000-0002-2040-8850
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Text and Data Mining valid from 2024-01-01

Text and Data Mining valid from 2024-01-01

Version of Record valid from 2025-01-13
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This article is maintained by: Elsevier

Article Title: A Hybrid Numerical-ML Model for Predicting Geological Risks in Tunneling with Electrical Methods

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-024-0066-z

Content Type: article

Copyright: Copyright © 2024 © Korean Society of Civil Engineers 2024 published by Elsevier inc. Published by Elsevier Inc.