Show simple item record

dc.contributor.authorChimunhu, Prosper
dc.contributor.authorTopal, Erkan
dc.contributor.authorAsad, Mohammad Waqar Ali
dc.contributor.authorShirani Faradonbeh, Roohollah
dc.contributor.authorDuany Ajak, Ajak
dc.date.accessioned2025-01-20T08:12:54Z
dc.date.available2025-01-20T08:12:54Z
dc.date.issued2024
dc.identifier.citationChimunhu, P. and Topal, E. and Asad, M.W.A. and Shirani Faradonbeh, R. and Duany Ajak, A. 2024. The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility. Mining Technology: Transactions of the Institutions of Mining and Metallurgy. 133 (4).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/96905
dc.identifier.doi10.1177/257266682412818
dc.publisherSAGE Publications
dc.relation.urihttps://journals.sagepub.com/doi/10.1177/25726668241281875
dc.titleThe future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility
dc.typeJournal Article
dcterms.source.volume133
dcterms.source.number4
dcterms.source.issn2572-6668
dcterms.source.titleMining Technology: Transactions of the Institutions of Mining and Metallurgy
dc.date.updated2025-01-20T08:12:53Z
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


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record