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Zheng, Tao, Qihua, Zhao, Su, Rui, Hu, Jianbo (2022) A Framework for Detecting and Extracting Discontinuities Based on Machine Learning. Mining, Metallurgy & Exploration, 39 (6) 2415-2430 doi:10.1007/s42461-022-00695-w

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Reference TypeJournal (article/letter/editorial)
TitleA Framework for Detecting and Extracting Discontinuities Based on Machine Learning
JournalMining, Metallurgy & Exploration
AuthorsZheng, TaoAuthor
Qihua, ZhaoAuthor
Su, RuiAuthor
Hu, JianboAuthor
Year2022 (December)Volume39
Issue6
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s42461-022-00695-wSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID15528728Long-form Identifiermindat:1:5:15528728:2
GUID0
Full ReferenceZheng, Tao, Qihua, Zhao, Su, Rui, Hu, Jianbo (2022) A Framework for Detecting and Extracting Discontinuities Based on Machine Learning. Mining, Metallurgy & Exploration, 39 (6) 2415-2430 doi:10.1007/s42461-022-00695-w
Plain TextZheng, Tao, Qihua, Zhao, Su, Rui, Hu, Jianbo (2022) A Framework for Detecting and Extracting Discontinuities Based on Machine Learning. Mining, Metallurgy & Exploration, 39 (6) 2415-2430 doi:10.1007/s42461-022-00695-w
In(2022, December) Mining, Metallurgy & Exploration Vol. 39 (6) Springer Science and Business Media LLC

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