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dc.contributor.authorTaheri, sina
dc.contributor.authorTopal, Erkan
dc.contributor.authorNguyen, Hoang
dc.contributor.authorJang, Hyongdoo
dc.contributor.authorShirani Faradonbeh, Roohollah
dc.date.accessioned2025-07-07T08:48:05Z
dc.date.available2025-07-07T08:48:05Z
dc.date.issued2025
dc.identifier.citationTaheri, S. and Topal, E. and Nguyen, H. and Jang, H. and Shirani Faradonbeh, R. 2025. Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models. Tunnelling and Underground Space Technology.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/98041
dc.identifier.doi10.1016/j.tust.2025.106852
dc.publisherElsevier
dc.titlePredicting overbreak and underbreak in underground longhole stoping using meta-soft computing models
dc.typeJournal Article
dcterms.source.issn0886-7798
dcterms.source.titleTunnelling and Underground Space Technology
dc.date.updated2025-07-07T08:48:01Z
curtin.departmentWASM: Minerals, Energy and Chemical Engineering
curtin.accessStatusIn process
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidShirani Faradonbeh, Roohollah [0000-0002-1518-3597]
curtin.contributor.scopusauthoridShirani Faradonbeh, Roohollah [56598081500]
curtin.repositoryagreementV3


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