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 …
Current scenario of solid waste management techniques and challenges in Covid-19–a review
Abstract Annually, world generates 2.01 billion tonnes of solid wastes and it is expected to
generate 2.2 billion tonnes of solid waste by 2025. Globally double the amount of waste …
generate 2.2 billion tonnes of solid waste by 2025. Globally double the amount of waste …
A survey on waste detection and classification using deep learning
Waste or trash management is receiving increased attention for intelligent and sustainable
development, particularly in developed and develo** countries. The waste or trash …
development, particularly in developed and develo** countries. The waste or trash …
Challenges for future robotic sorters of mixed industrial waste: A survey
To achieve recycling of mixed industrial waste toward an advanced sustainable society,
waste sorting automation through robots is crucial and urgent. For this purpose, a robot is …
waste sorting automation through robots is crucial and urgent. For this purpose, a robot is …
[PDF][PDF] Beyond the Bin: Machine Learning-Driven Waste Management for a Sustainable Future. J. Recent Trends Comput. Sci. Eng. 11 (1), 16–27 (2023)
As urbanization drives an increase in waste generation, effective sorting systems become
essential for enhancing recycling and reducing landfill impact. Traditional manual sorting …
essential for enhancing recycling and reducing landfill impact. Traditional manual sorting …
[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” …
Patent landscape of composting technology: A review
Organic waste management is a major global challenge. It accounts for a significant portion
of waste that ends up in landfills, where it gradually decomposes and emits methane, a …
of waste that ends up in landfills, where it gradually decomposes and emits methane, a …
Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production
The growth and implementation of biofuels and bioenergy conversion technologies play an
important part in the production of sustainable and renewable energy resources in the …
important part in the production of sustainable and renewable energy resources in the …
[HTML][HTML] A deep CNN approach to detect and classify local fruits through a web interface
An automated fruit identification system may be used in the supermarket to help consumers
determine the type and standard of fruits. Automatic fruit categorization and recognition is …
determine the type and standard of fruits. Automatic fruit categorization and recognition is …
Trashbox: trash detection and classification using quantum transfer learning
The problem of effective disposal of the trash generated by people has rightfully attracted
major interest from various sections of society in recent times. Recently, deep learning …
major interest from various sections of society in recent times. Recently, deep learning …