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RETRACTED: Rock Fragmentation Classification Applying Machine Learning Approaches
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-6790-2653
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
2023 (English)In: Engineering, ISSN 1947-3931, E-ISSN 1947-394X, Vol. 15, no 6, p. 378-395Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Scientific Research Publishing, 2023. Vol. 15, no 6, p. 378-395
National Category
Geotechnical Engineering Computer Sciences
Research subject
Soil Mechanics; Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-98329DOI: 10.4236/eng.2023.156030OAI: oai:DiVA.org:ltu-98329DiVA, id: diva2:1767069
Funder
VinnovaSwedish Energy AgencySwedish Research Council Formas
Note

Godkänd;2023;Nivå 0;2023-06-13 (hanlid);

Funder: Center for Advanced Mining and Metallurgy (CAMM2)

Available from: 2023-06-13 Created: 2023-06-13 Last updated: 2023-09-05Bibliographically approved

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Liaghat, SamanehAl Ansari, Nadhir

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