Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector.
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| Title: | Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector. |
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| Authors: | Ali, Danish1, davm5@mst.edu, Frimpong, Samuel1 |
| Source: | Artificial Intelligence Review; Dec2020, Vol. 53 Issue 8, p6025-6042, 18p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 146105186 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=146105186 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-020-09841-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 6025 Titles: – TitleFull: Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ali, Danish – PersonEntity: Name: NameFull: Frimpong, Samuel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 53 – Type: issue Value: 8 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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