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Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
Computer vision for solid waste sorting: A critical review of academic research
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
[HTML][HTML] Deep learning-based waste detection in natural and urban environments
Waste pollution is one of the most significant environmental issues in the modern world. The
importance of recycling is well known, both for economic and ecological reasons, and the …
importance of recycling is well known, both for economic and ecological reasons, and the …
Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network
Domestic waste classification was incorporated into legal provisions recently in China.
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …
[HTML][HTML] Deep learning for detecting macroplastic litter in water bodies: A review
Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …
aquatic environments, and causes economic and health problems. Accurate detection of …
[HTML][HTML] A waste separation system based on sensor technology and deep learning: A simple approach applied to a case study of plastic packaging waste
M Dokl, Y Van Fan, A Vujanović, ZN Pintarič… - Journal of Cleaner …, 2024 - Elsevier
Plastic waste pollution is a challenging and complex issue caused mainly by high
consumption of single-use plastics and the linear economy of “extract-make-use-throw” …
consumption of single-use plastics and the linear economy of “extract-make-use-throw” …
Flow: A dataset and benchmark for floating waste detection in inland waters
Marine debris is severely threatening the marine lives and causing sustained pollution to the
whole ecosystem. To prevent the wastes from getting into the ocean, it is helpful to clean up …
whole ecosystem. To prevent the wastes from getting into the ocean, it is helpful to clean up …
GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management
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 …
the need for advanced waste sorting and recycling methods to ensure sustainable waste …
[HTML][HTML] AquaVision: Automating the detection of waste in water bodies using deep transfer learning
Water pollution is one of the serious threats in the society. More than 8 million tons of plastic
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …
Autonomous, onboard vision-based trash and litter detection in low altitude aerial images collected by an unmanned aerial vehicle
Public littering and discarded trash are, despite the effort being put to limit it, still a serious
ecological, aesthetic, and social problem. The problematic waste is usually localised and …
ecological, aesthetic, and social problem. The problematic waste is usually localised and …