SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features.

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Title: SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features.
Authors: Amin, Junaid1, mohdjunaidkashmeer@gmail.com, Selwal, Arvind1, Sabha, Ambreen1
Source: Multimedia Tools & Applications; Aug2023, Vol. 82 Issue 20, p31445-31465, 21p
Database: Applied Science & Technology Source
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  Data: SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Aug2023, Vol. 82 Issue 20, p31445-31465, 21p
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        Value: 10.1007/s11042-023-14934-9
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      – Code: eng
        Text: English
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        StartPage: 31445
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      – TitleFull: SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features.
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            NameFull: Amin, Junaid
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            NameFull: Selwal, Arvind
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            NameFull: Sabha, Ambreen
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              Text: Aug2023
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              Y: 2023
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