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A novel framework for trash classification using deep transfer learning
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 …
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
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 …
living standards. This trend exhibits diversity across different countries and regions …
[HTML][HTML] Detection of river plastic using UAV sensor data and deep learning
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 …
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
Garbage image classification often suffers from three aspect challenges: complex image
background, same-shape category, and low-quality image. The existing machine vision …
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
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 …
provide solid management as one of their core essential services. Waste management …
[HTML][HTML] Smart trash bin model design and future for smart city
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 …
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 …
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 …
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 …
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 …
continues to increase. This waste causes serious pollution to the ecological environment …