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Harris, J.R.; Ayer, J.; Naghizadeh, M.; Smith, R; Snyder, D.; Behnia, P.; Parsa, M.; Sherlock, R.; Trivedi, M. (2023) A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines. Ore Geology Reviews, 157. doi:10.1016/j.oregeorev.2023.105403

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Reference TypeJournal (article/letter/editorial)
TitleA study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines
JournalOre Geology Reviews
AuthorsHarris, J.R.Author
Ayer, J.Author
Naghizadeh, M.Author
Smith, RAuthor
Snyder, D.Author
Behnia, P.Author
Parsa, M.Author
Sherlock, R.Author
Trivedi, M.Author
Year2023 (June)Volume157
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2023.105403Search in ResearchGate
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Mindat Ref. ID15764906Long-form Identifiermindat:1:5:15764906:4
GUID0
Full ReferenceHarris, J.R.; Ayer, J.; Naghizadeh, M.; Smith, R; Snyder, D.; Behnia, P.; Parsa, M.; Sherlock, R.; Trivedi, M. (2023) A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines. Ore Geology Reviews, 157. doi:10.1016/j.oregeorev.2023.105403
Plain TextHarris, J.R.; Ayer, J.; Naghizadeh, M.; Smith, R; Snyder, D.; Behnia, P.; Parsa, M.; Sherlock, R.; Trivedi, M. (2023) A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines. Ore Geology Reviews, 157. doi:10.1016/j.oregeorev.2023.105403
In(2023) Ore Geology Reviews Vol. 157. Elsevier BV


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