A novel framework for trash classification using deep transfer learning

AH Vo, MT Vo, T Le - IEEE Access, 2019 - ieeexplore.ieee.org
Nowadays, society is growing and crowded, the construction of automatic smart waste sorter
machine utilizing the intelligent sensors is important and necessary. To build this system …

DSYOLO-trash: An attention mechanism-integrated and object tracking algorithm for solid waste detection

W Ma, H Chen, W Zhang, H Huang, J Wu, X Peng… - Waste Management, 2024 - Elsevier
In a global context, the production of urban solid waste significantly varies with changes in
living standards. This trend exhibits diversity across different countries and regions …

[HTML][HTML] Detection of river plastic using UAV sensor data and deep learning

N Maharjan, H Miyazaki, BM Pati, MN Dailey… - Remote Sensing, 2022 - mdpi.com
Plastic pollution is a critical global issue. Increases in plastic consumption have triggered
increased production, which in turn has led to increased plastic disposal. In situ observation …

Learning fusion feature representation for garbage image classification model in human–robot interaction

X Li, T Li, S Li, B Tian, J Ju, T Liu, H Liu - Infrared Physics & Technology, 2023 - Elsevier
Garbage image classification often suffers from three aspect challenges: complex image
background, same-shape category, and low-quality image. The existing machine vision …

[PDF][PDF] Seven class solid waste management-hybrid features based deep neural network

KB Shah, S Visalakshi, R Panigrahi - International Journal of System …, 2023 - kitspress.com
To keep cities clean, municipal agencies, non-profit organizations, and the private sector all
provide solid management as one of their core essential services. Waste management …

[HTML][HTML] Smart trash bin model design and future for smart city

JH Huh, JH Choi, K Seo - Applied sciences, 2021 - mdpi.com
The trash disposal system, using standard trash bags, has been adopted by the government
of the Republic of Korea (ROK) for more than two decades. This has caused a sanitary …

Using a deep learning model to quantify trash accumulation for cleaner urban stormwater

G Conley, SC Zinn, T Hanson, K McDonald… - … Environment and Urban …, 2022 - Elsevier
With growing understanding of trash impacts on aquatic habitats throughout the world, cities
increasingly face regulatory requirements to reduce trash inputs to local waterways and the …

Waste-YOLO: towards high accuracy real-time abnormal waste detection in waste-to-energy power plant for production safety

H Wang, L Wang, H Chen, X Li… - Measurement Science …, 2023 - iopscience.iop.org
Due to the danger of explosive, oversize and poison-induced abnormal waste and the
complex conditions in waste-to-energy power plants (WtEPPs), the manual inspection and …

A deep learning-based approach to segregate solid waste generated in residential areas

S Sundaralingam, N Ramanathan - Engineering, Technology & Applied …, 2023 - etasr.com
Residential waste is a substantial contributor to solid waste generation, which is
approximately around 36.5 million tons annually in India. The waste created in households …

[HTML][HTML] YOLOv5-OCDS: An improved garbage detection model based on YOLOv5

Q Sun, X Zhang, Y Li, J Wang - Electronics, 2023 - mdpi.com
As the global population grows and urbanization accelerates, the garbage that is generated
continues to increase. This waste causes serious pollution to the ecological environment …