Analysis of Garbage Classification with a Convolutional Neural Network

Waste management is a pressing global concern as the world grapples with mounting piles of garbage. This project aims to address this issue through the development of a Smart Garbage Classification System. By enhancing the efficiency and accuracy of waste sorting, this system contributes to reducing environmental pollution and promoting recycling efforts. The project underscores the importance of sustainable waste management, not only for a cleaner environment but also for a healthier and more sustainable future.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993787
Citations
4
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
1.17
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article

Analysis of Garbage Classification with a Convolutional Neural Network

V. Balaji, M. Giri, Mahammad Mustafa Ravikala, Prathima Perichetty et al.
4 citations
Municipal Solid Waste Management
1.17
article

Analysis of Garbage Classification with a Convolutional Neural Network

V. Balaji, M. Giri, Mahammad Mustafa Ravikala, Prathima Perichetty, Masthan Rao Garlapati, Gerivi Reddy Sekhar
article en
4 citations

Abstract

Waste management is a pressing global concern as the world grapples with mounting piles of garbage. This project aims to address this issue through the development of a Smart Garbage Classification System. By enhancing the efficiency and accuracy of waste sorting, this system contributes to reducing environmental pollution and promoting recycling efforts. The project underscores the importance of sustainable waste management, not only for a cleaner environment but also for a healthier and more sustainable future.

Institute of Engineering (NP)
Zero hunger
Openalex Percentile: Top 21%
Municipal Solid Waste Management
1.17
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