AIMC Topic: Recycling
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Garbage detection and classification using a new deep learning-based machine vision system as a tool for sustainable waste recycling.
Waste management (New York, N.Y.)
Mar 28, 2023
Waste recycling is a critical issue for environment pollution management while garbage classification determines the recycling efficiency. In order to reduce labor costs and increase garbage classification capacity, a machine vision system is establi...
Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production.
Chemosphere
Aug 14, 2022
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 upcoming years. Recycling sources from waste could efficiently ease the risk...
Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature review.
Waste management (New York, N.Y.)
Jun 24, 2022
Digital technologies hold enormous potential for improving the performance of future-generation sorting and processing plants; however, this potential remains largely untapped. Improved sensor-based material flow characterization (SBMC) methods could...
Fuzzy-based adaptive learning network using search and rescue optimization for e-waste management model: case study.
Environmental science and pollution research international
Oct 1, 2021
In recent days, the expansion of e-waste disposal should be increased due to environmental hazards, contamination of groundwater, an unconcerned consequence on marine life, human health, and decrease in the fertility of the soil. The majority of the ...
Digitalization of waste management: Insights from German private and public waste management firms.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jun 30, 2021
Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for material recognition and robotic automation, as key enablers to more effective and efficient waste manageme...
A European household waste management approach: Intelligently clean Ukraine.
Journal of environmental management
Jun 10, 2021
The European-wide environmental obstacles of inefficient and unsustainable recycling systems and flows constrain household waste (HW) management, endangering the circular economy. The European 2020 strategy and ongoing environmental disasters indicat...
Research on the process of small sample non-ferrous metal recognition and separation based on deep learning.
Waste management (New York, N.Y.)
Mar 28, 2021
Consumption of copper and aluminum has increased significantly in recent years; therefore, recycling these elements from the end-of-life vehicles (ELVs) will be of great economic value and social benefit. However, the separation of non-ferrous materi...
Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Mar 21, 2021
In the increasingly pressing context of improving recycling, optical technologies present a broad potential to support the adequate sorting of plastics. Nevertheless, the commercially available solutions (for example, employing near-infrared spectros...
A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jan 26, 2021
End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different...
A bibliometric analysis of comparative research on the evolution of international and Chinese green supply chain research hotspots and frontiers.
Environmental science and pollution research international
Jan 2, 2021
Green supply chain (GSC), one of the most vital sub-topics of sustainable development, indicates people provoking on the rationality of business practices and resource consumption patterns. Under the background of economy globalization, developing co...
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