A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification-Reference-Cited by-同舟云学术

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification

Published:2024 Issue: Volume:12 Page:13809-13821
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hossen Md. Mosarrof¹^ORCID,Majid Molla E.²,Kashem Saad Bin Abul³^ORCID,Khandakar Amith⁴^ORCID,Nashbat Mohammad⁵^ORCID,Ashraf Azad⁵,Hasan-Zia Mazhar⁵,Kunju Ali K. Ansaruddin⁵,Kabir Saidul¹^ORCID,Chowdhury Muhammad E. H.⁴^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, University of Dhaka, Dhaka, Bangladesh

2. Computer Applications Department, Academic Bridge Program, Qatar Foundation, Doha, Qatar

3. Department of Computing Science, AFG College with the University of Aberdeen, Doha, Qatar

4. Department of Electrical Engineering, Qatar University, Doha, Qatar

5. Chemical Engineering Department, University of Doha for Science and Technology, Doha, Qatar

Funder

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10401910.pdf?arnumber=10401910

Reference48 articles.

1. Real-time smart garbage bin mechanism for solid waste management in smart cities

2. Intelligent garbage classification system based on improve MobileNetV3-Large

3. Environmental pollution and toxic substances: Cellular apoptosis as a key parameter in a sensible model like fish

4. Microplastics in the marine environment: Current trends in environmental pollution and mechanisms of toxicological profile

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