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dc.contributor.authorNobahar, Pouya
dc.contributor.authorShirani Faradonbeh, Roohollah
dc.contributor.authorAlmasi, Seyed Najmedin
dc.contributor.authorBastami, Reza
dc.date.accessioned2024-07-17T07:08:55Z
dc.date.available2024-07-17T07:08:55Z
dc.date.issued2024
dc.identifier.citationNobahar, P. and Shirani Faradonbeh, R. and Almasi, S.N. and Bastami, R. 2024. Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation. Mining, metallurgy & exploration.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/95522
dc.identifier.doi10.1007/s42461-024-01028-9
dc.publisherSpringer
dc.titleAdvanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
dc.typeJournal Article
dcterms.source.issn2524-3462
dcterms.source.titleMining, metallurgy & exploration.
dc.date.updated2024-07-17T07:08:53Z
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


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