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Quality Assessment of Edible Plant-Based Fixed Oils Using Different Analytical Techniques and Machine Learning Approaches.

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Title: Quality Assessment of Edible Plant-Based Fixed Oils Using Different Analytical Techniques and Machine Learning Approaches.
Authors: Strati, Irini F.1, estrati@uniwa.grktsiantas@uniwa.gr, Tsiantas, Konstantinos1, fiqs21031@uniwa.gr, Psouni, Angeliki1, gladika@uniwa.gr, Ladika, Georgia1, vsina@uniwa.gr, Cavouras, Dionisis2, cavouras@uniwa.gr, Sinanoglou, Vassilia J.1
Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10305, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181173799
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Quality Assessment of Edible Plant-Based Fixed Oils Using Different Analytical Techniques and Machine Learning Approaches.
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        Value: 10.3390/app142210305
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      – Code: eng
        Text: English
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        StartPage: 10305
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      – TitleFull: Quality Assessment of Edible Plant-Based Fixed Oils Using Different Analytical Techniques and Machine Learning Approaches.
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            NameFull: Tsiantas, Konstantinos
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              Text: Nov2024
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              Y: 2024
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