HAttFFNN: Hybridized attention mechanism-based feedforward neural network deep learning model for the plastic material classification of three stage materials on spectroscopic data.

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Title: HAttFFNN: Hybridized attention mechanism-based feedforward neural network deep learning model for the plastic material classification of three stage materials on spectroscopic data.
Authors: Alimbekova, Nazym1,2 (AUTHOR), Rai, Hari Mohan3 (AUTHOR), Turymbetov, Tursinbay4 (AUTHOR), Zhumadillayeva, Ainur1 (AUTHOR) zhumadillayeva_ak@enu.kz
Source: PLoS ONE. 12/2/2025, Vol. 20 Issue 12, p1-30. 30p.
Database: Academic Search Ultimate
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  Data: HAttFFNN: Hybridized attention mechanism-based feedforward neural network deep learning model for the plastic material classification of three stage materials on spectroscopic data.
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  Data: <searchLink fieldCode="AR" term="%22Alimbekova%2C+Nazym%22">Alimbekova, Nazym</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rai%2C+Hari+Mohan%22">Rai, Hari Mohan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Turymbetov%2C+Tursinbay%22">Turymbetov, Tursinbay</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhumadillayeva%2C+Ainur%22">Zhumadillayeva, Ainur</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhumadillayeva_ak@enu.kz</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 12/2/2025, Vol. 20 Issue 12, p1-30. 30p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189731963
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        Value: 10.1371/journal.pone.0336927
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        Text: English
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              Text: 12/2/2025
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