AIMC Topic: Recycling

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Detection of degraded high-density polyethylene via near-infrared hyperspectral imaging.

Waste management (New York, N.Y.) Jun 19, 2025
The quality of recycled plastics is crucial to make them competitive in more demanding applications and to extend their range of applications. However, there are many influencing factors that can reduce the quality and limit the use of recyclates. On...
Spectroscopy, Fourier Transform Infrared Ultraviolet Rays Spectroscopy, Near-Infrared Polyethylene Hyperspectral Imaging Recycling
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Generation of ultrasonic and audible sound waves for the automatic classification of packaging waste in reverse vending machines.

Waste management (New York, N.Y.) Jun 8, 2025
Reverse vending machines (RVMs) are essential for promoting waste sorting at the source by offering incentives for recycling. However, current RVMs, which primarily rely on expensive sensors such as barcode scanners and computer vision systems, face ...
Waste Management Product Packaging Acoustics Sound Ultrasonic Waves Recycling Machine Learning
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Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

PloS one Jun 4, 2025
As industrialization and the development of smart cities progress, effective waste collection, classification, and management have become increasingly vital. Recycling processes depend on accurately identifying and restoring waste materials to their ...
Waste Management Convolutional Neural Networks Recycling Neural Networks, Computer Deep Learning
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Semi-scale stirred tank enzymatic bioleaching system for metal recovery from PCBs of end-of-life mobile phones: Process parameter optimization, predictive modelling, and economic assessment.

Waste management (New York, N.Y.) Jun 3, 2025
Biocatalysts like enzymes have proven to be faster and efficient in metal bioleaching from printed circuit boards (PCBs) than microbe-mediated bioleaching. However, studies on enzymatic metal bioleaching from PCBs are mainly confined to the shake-fla...
Neural Networks, Computer Metals Cost-Benefit Analysis Polychlorinated Biphenyls Recycling Cell Phone Electronic Waste
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Zero-shot and few-shot multimodal plastic waste classification with vision-language models.

Waste management (New York, N.Y.) Apr 23, 2025
The construction sector is a large consumer of plastic, generating substantial volumes of plastic waste. Effective recycling of this waste requires accurate classification, as different plastic materials undergo distinct recycling processes to retain...
Plastics Recycling Construction Materials Waste Management
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Efficient and anti-interference plastic classification method suitable for one-shot learning based on laser induced breakdown spectroscopy.

Chemosphere Apr 15, 2025
Efficient recycling of plastics is critical for environmental sustainability. In this work, an efficient and anti-interference method for plastic classification based on one-shot learning and laser-induced breakdown spectroscopy (LIBS) was proposed. ...
Recycling Algorithms Plastics Spectrum Analysis Lasers Neural Networks, Computer
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Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning.

Waste management (New York, N.Y.) Feb 18, 2025
Accurate identification of plastic materials from post-consumer food container and packaging waste is crucial for enhancing the purity and added value of recycled materials, thereby promoting recycling and addressing the issue of plastic pollution. H...
Recycling Polyethylene Terephthalates Terahertz Spectroscopy Bayes Theorem Machine Learning Plastics Food Packaging
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A machine-learning approach to optimize nutritional properties and organic wastes recycling efficiency conversed by black soldier fly (Hermetia illucens).

Bioresource technology Feb 17, 2025
Suboptimal nutrition in organic waste limits the growth of black soldier fly (BSF) larvae, thereby reducing biowaste recycling efficiency. In this study, weight gain data from BSF larvae fed diets with distinct nutrient compositions were used to buil...
Larva Animal Feed Animals Machine Learning Waste Products Biomass Diptera Simuliidae Recycling
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Contaminant detection in flexible polypropylene packaging waste using hyperspectral imaging and machine learning.

Waste management (New York, N.Y.) Feb 10, 2025
Flexible plastic packaging (FPP) constitutes one of the largest post-consumer plastic streams processed in recycling facilities. To address the key challenges of its sorting and quality control, this study developed and tested a classification proced...
Machine Learning Recycling Product Packaging Hyperspectral Imaging Spectroscopy, Fourier Transform Infrared Polypropylenes Principal Component Analysis
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Identification and information acquisition of high-value construction solid waste combined millimeter-wave radar and convolutional neural networks.

Waste management (New York, N.Y.) Jan 27, 2025
The accumulation of construction solid waste (CSW) leads to the waste of land resources and environmental pollution, becoming a significant social problem. Identifying the amount of high-value CSW is essential for assessing the value of accumulated C...
Recycling Convolutional Neural Networks Radar Neural Networks, Computer Construction Materials Solid Waste Algorithms
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