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

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

<p dir="ltr">In response to the growing waste problem caused by industrialization and modernization, the need for an automated waste sorting and recycling system for sustainable waste management has become ever more pressing. Deep learning has made significant advancements in image c...

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Bibliographic Details
Main Author: Md. Mosarrof Hossen (21401603) (author)
Other Authors: Molla E. Majid (21323921) (author), Saad Bin Abul Kashem (17773188) (author), Amith Khandakar (14151981) (author), Mohammad Nashbat (17542194) (author), Azad Ashraf (17541924) (author), Mazhar Hasan-Zia (21399896) (author), Ali K. Ansaruddin Kunju (21399059) (author), Saidul Kabir (15302407) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2024
Subjects:
Engineering
Environmental engineering
Environmental sciences
Environmental management
Pollution and contamination
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Machine learning
Waste management
Recycling
Waste classification
Multi-label classification
Convolutional neural network (CNN)
Deep learning
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