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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection.

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Title: Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection.
Authors: Sayem, Faizul Rakib1, faizulrakib-2017214832@eee.du.ac.bd, Islam, Md. Sakib Bin2, 201926034@student.mist.ac.bd, Naznine, Mansura3, 1703008@student.ruet.ac.bd, Nashbat, Mohammad4, mohammad.nashbat@UDST.edu.qa, Hasan-Zia, Mazhar4, mazhar.hasanzia@udst.edu.qa, Kunju, Ali K Ansaruddin4, aliyarukunju.kunju@udst.edu.qa, Khandakar, Amith5, amitk@qu.edu.qa, Ashraf, Azad4, azad.ashraf@udst.edu.qa, Majid, Molla Ehsanul6, mmajid@qf.org.qa, Kashem, Saad Bin Abul7, saad.kashem@afg-aberdeen.edu.qa, Chowdhury, Muhammad E. H.5, mchowdhury@qu.edu.qa
Source: Neural Computing & Applications; Feb2025, Vol. 37 Issue 6, p4567-4583, 17p
Database: Applied Science & Technology Source
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  Data: Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Feb2025, Vol. 37 Issue 6, p4567-4583, 17p
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