Predictive insights for copper recovery: A synergistic approach integrating variability data and machine learning in the geometallurgical study of the Tizert deposit, Morocco
In: Journal of African Earth Sciences, Jg. 212 (2024-04-01)
Online
academicJournal
Zugriff:
Titel: |
Predictive insights for copper recovery: A synergistic approach integrating variability data and machine learning in the geometallurgical study of the Tizert deposit, Morocco
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Autor/in / Beteiligte Person: | Dachri, Kaoutar ; Bouabidi, Mohamed ; Naji, Khalid ; Nouar, Kalthoum ; Benzakour, Intissar ; Oummouch, Abdellah ; Hibti, Mohamed ; El Amari, Khalid |
Link: | |
Zeitschrift: | Journal of African Earth Sciences, Jg. 212 (2024-04-01) |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 1464-343X (electronic) |
DOI: | 10.1016/j.jafrearsci.2024.105208 |
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