Machine-learning Applications in Gemmology: Classifying the Geographic Origin of Ruby and Sapphire Using Chemical Data.

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Title: Machine-learning Applications in Gemmology: Classifying the Geographic Origin of Ruby and Sapphire Using Chemical Data.
Authors: Seneewong-Na-Ayutthaya, Montira1, Sripoonjan, Tasnara2 tasnara@hotmail.com, Wanthanachaisaeng, Bhuwadol1, Leelawatanasuk, Thanong1, Lhuaamporn, Thanapong1, Suwanmanee, Waratchanok1
Source: Journal of Gemmology. 2025, Vol. 39 Issue 7, p634-655. 22p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 188238070
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Gemmology%22">Journal of Gemmology</searchLink>. 2025, Vol. 39 Issue 7, p634-655. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188238070
RecordInfo BibRecord:
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        Value: 10.15506/JoG.2025.39.7.634
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 634
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      – TitleFull: Machine-learning Applications in Gemmology: Classifying the Geographic Origin of Ruby and Sapphire Using Chemical Data.
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            NameFull: Seneewong-Na-Ayutthaya, Montira
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            NameFull: Wanthanachaisaeng, Bhuwadol
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            NameFull: Leelawatanasuk, Thanong
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            NameFull: Lhuaamporn, Thanapong
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            – D: 01
              M: 07
              Text: 2025
              Type: published
              Y: 2025
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              Value: 39
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            – TitleFull: Journal of Gemmology
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