Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
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 …

[HTML][HTML] Current scenario of solid waste management techniques and challenges in Covid-19–a review

JN Jebaranjitham, JDS Christyraj, A Prasannan… - Heliyon, 2022 - cell.com
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 …

A survey on waste detection and classification using deep learning

H Abdu, MHM Noor - IEEE Access, 2022 - ieeexplore.ieee.org
Waste or trash management is receiving increased attention for intelligent and sustainable
development, particularly in developed and developing countries. The waste or trash …

Challenges for future robotic sorters of mixed industrial waste: A survey

T Kiyokawa, J Takamatsu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

[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” …

[HTML][HTML] Patent landscape of composting technology: A review

FA Azis, M Rijal, H Suhaimi, PE Abas - Inventions, 2022 - mdpi.com
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 …

Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production

AI Khan, ASA Alghamdi, YB Abushark, F Alsolami… - Chemosphere, 2022 - Elsevier
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 …

Trashbox: trash detection and classification using quantum transfer learning

NV Kumsetty, AB Nekkare… - 2022 31st Conference of …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] A deep CNN approach to detect and classify local fruits through a web interface

MM Rahman, MA Basar, TS Shinti, MSI Khan… - Smart Agricultural …, 2023 - Elsevier
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 …

[HTML][HTML] The Effect of initial carbon to nitrogen ratio on kitchen waste composting maturity

FA Azis, M Choo, H Suhaimi, PE Abas - Sustainability, 2023 - mdpi.com
A home electrical composter has arisen as a popular tool to expedite the lengthy composting
process. It has been conveniently selected as a compost producer in kitchen households …