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

Nazym Alimbekova; Hari Mohan Rai; Tursinbay Turymbetov; Ainur Zhumadillayeva

doi:10.1371/journal.pone.0336927

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Open Access

Peer-reviewed

Research Article

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

Nazym Alimbekova,

Roles Conceptualization, Data curation, Methodology, Validation, Writing – original draft

Affiliations Department of Computer and Software Engineering, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan, High School of Information Technology and Engineering, Astana, Kazakhstan
⨯
Hari Mohan Rai,

Roles Data curation, Supervision, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan
⨯
Tursinbay Turymbetov,

Roles Supervision, Writing – review & editing

Affiliation Humanities school, International University of Tourism and Hospitality, Turkistan, Kazakhstan
⨯
Ainur Zhumadillayeva

Roles Conceptualization, Supervision, Writing – original draft, Writing – review & editing

* E-mail: zhumadillayeva_ak@enu.kz, ay8222@mail.ru

Affiliation Department of Computer and Software Engineering, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

https://orcid.org/0000-0003-1042-0415

⨯

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

Nazym Alimbekova,
Hari Mohan Rai,
Tursinbay Turymbetov,
Ainur Zhumadillayeva

Published: December 2, 2025
https://doi.org/10.1371/journal.pone.0336927

About the Authors

Nazym Alimbekova

Roles Conceptualization, Data curation, Methodology, Validation, Writing – original draft

Affiliations Department of Computer and Software Engineering, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan, High School of Information Technology and Engineering, Astana, Kazakhstan

Hari Mohan Rai

Roles Data curation, Supervision, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan

Tursinbay Turymbetov

Roles Supervision, Writing – review & editing

Affiliation Humanities school, International University of Tourism and Hospitality, Turkistan, Kazakhstan

Ainur Zhumadillayeva

Roles Conceptualization, Supervision, Writing – original draft, Writing – review & editing

* E-mail: zhumadillayeva_ak@enu.kz, ay8222@mail.ru

Affiliation Department of Computer and Software Engineering, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

https://orcid.org/0000-0003-1042-0415

Competing Interests

The authors have declared that no competing interests exist.

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Plastics
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Near-infrared spectroscopy
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Preprocessing
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Deep learning
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Neural networks
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Raman spectroscopy
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Artificial neural networks
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Data management
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