Deep learning approach to recyclable products classification: Towards sustainable waste management

MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

Garbage detection and classification using a new deep learning-based machine vision system as a tool for sustainable waste recycling

S Jin, Z Yang, G Królczykg, X Liu, P Gardoni, Z Li - Waste Management, 2023 - Elsevier
Waste recycling is a critical issue for environment pollution management while garbage
classification determines the recycling efficiency. In order to reduce labor costs and increase …

GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management

MM Hossen, A Ashraf, M Hasan, ME Majid… - Waste Management, 2024 - Elsevier
The escalating waste volume due to urbanization and population growth has underscored
the need for advanced waste sorting and recycling methods to ensure sustainable waste …

Deep learning based smart garbage classifier for effective waste management

R Sidharth, P Rohit, S Vishagan… - 2020 5th …, 2020 - ieeexplore.ieee.org
India is the second most populated country in the world and it is still facing hindrances to its
development on waste management. It is believed that 10 million tons of waste is produced …

Application of MobileNetV2 to waste classification

L Yong, L Ma, D Sun, L Du - Plos one, 2023 - journals.plos.org
Today, the topic of waste separation has been raised for a long time, and some waste
separation devices have been installed in large communities. However, the vast majority of …

Depth-wise separable convolution attention module for garbage image classification

F Liu, H Xu, M Qi, D Liu, J Wang, J Kong - Sustainability, 2022 - mdpi.com
Currently, how to deal with the massive garbage produced by various human activities is a
hot topic all around the world. In this paper, a preliminary and essential step is to classify the …

A study of garbage classification with convolutional neural networks

S Meng, WT Chu - … on computing, analytics and networks (indo …, 2020 - ieeexplore.ieee.org
Recycling is already a significant work for all countries. Among the work needed for
recycling, garbage classification is the most fundamental step to enable cost-efficient …

A smart municipal waste management system based on deep-learning and Internet of Things

C Wang, J Qin, C Qu, X Ran, C Liu, B Chen - Waste Management, 2021 - Elsevier
A proof-of-concept municipal waste management system was proposed to reduce the cost of
waste classification, monitoring and collection. In this system, we utilize the deep learning …

Garbage recognition and classification system based on convolutional neural network vgg16

H Wang - 2020 3rd International Conference on Advanced …, 2020 - ieeexplore.ieee.org
To study the application of deep learning in the field of environmental protection, the
convolutional neural network VGG16 model is used to solve the problem of identification …

A deep learning approach based hardware solution to categorise garbage in environment

T Gupta, R Joshi, D Mukhopadhyay… - Complex & Intelligent …, 2022 - Springer
Garbage detection and disposal have become one of the major hassles in urban planning.
Due to population influx in urban areas, the rate of garbage generation has increased …