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 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 …

Garbage classification system based on improved ShuffleNet v2

Z Chen, J Yang, L Chen, H Jiao - Resources, Conservation and Recycling, 2022 - Elsevier
Garbage classification technology is not only an important basis for the harmless treatment
of waste and resource recovery, but also the inevitable trend of social development. The …

An automatic garbage classification system based on deep learning

Z Kang, J Yang, G Li, Z Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Garbage classification has always been an important issue in environmental protection,
resource recycling and social livelihood. In order to improve the efficiency of front-end …

[HTML][HTML] 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 …

Intelligent waste classification system using deep learning convolutional neural network

O Adedeji, Z Wang - Procedia Manufacturing, 2019 - Elsevier
The accumulation of solid waste in the urban area is becoming a great concern, and it would
result in environmental pollution and may be hazardous to human health if it is not properly …

A combination model based on transfer learning for waste classification

GL Huang, J He, Z Xu, G Huang - … and Computation: Practice …, 2020 - Wiley Online Library
The increasing amount of solid waste is becoming a significant problem that needs to be
addressed urgently. The reliable and accurate classification method is a crucial step in …

A novel intelligent garbage classification system based on deep learning and an embedded linux system

B Fu, S Li, J Wei, Q Li, Q Wang, J Tu - Ieee Access, 2021 - ieeexplore.ieee.org
The dramatic increase in the amount of garbage and complex diversity of the materials in the
garbage bring serious environmental pollution problems and wastes resources. Recycling …

[HTML][HTML] A waste classification method based on a multilayer hybrid convolution neural network

C Shi, C Tan, T Wang, L Wang - Applied Sciences, 2021 - mdpi.com
With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …

A CNN-Based Smart Waste Management System Using TensorFlow Lite and LoRa-GPS Shield in Internet of Things Environment

NCA Sallang, MT Islam, MS Islam, H Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
Urban areas are facing challenges in waste management systems due to the rapid growth of
population in cities, causing huge amount of waste generation. As traditional waste …