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

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

<p dir="ltr">Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. The material composition and volume of urban solid waste are key consideratio...

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Bibliographic Details
Main Author: Faizul Rakib Sayem (21399890) (author)
Other Authors: Md. Sakib Bin Islam (20494559) (author), Mansura Naznine (21399893) (author), Mohammad Nashbat (17542194) (author), Mazhar Hasan-Zia (21399896) (author), Ali K Ansaruddin Kunju (21399899) (author), Amith Khandakar (14151981) (author), Azad Ashraf (17541924) (author), Molla Ehsanul Majid (21399902) (author), Saad Bin Abul Kashem (17773188) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2024
Subjects:
Engineering
Environmental engineering
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Data management and data science
Machine learning
Intelligent waste management
Sustainable waste processing
Urban solid waste
Deep learning for waste management
Waste image classification
Object detection in waste management
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