AIMC Topic: Recycling

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Assessment of type and quantities of food and beverage plastic packaging: A case study.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Dec 8, 2024
Plastic pollution has been identified as one of the most pressing environmental issues of the 21st century, driven by excessive consumption and inadequate plastic waste management. This issue is particularly reflected in short lifespan of plastic pro...
Plastics Beverages Food Packaging Product Packaging Montenegro Waste Management Recycling
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Design of Recyclable Plastics with Machine Learning and Genetic Algorithm.

Journal of chemical information and modeling Dec 3, 2024
We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that designs new monomers and then utilizes virtual for...
Polystyrenes Recycling Plastics Thermodynamics Polymerization Algorithms Machine Learning
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Modelling and evaluation of mechanical performance and environmental impacts of sustainable concretes using a multi-objective optimization based innovative interpretable artificial intelligence method.

Journal of environmental management Nov 16, 2024
This study focuses on modelling sustainable concretes' mechanical and environmental properties with interpretable artificial intelligence-based automated rule extraction, management of waste materials, and meeting future prospects. In this context, 2...
Recycling Construction Materials Artificial Intelligence Compressive Strength Models, Theoretical Environment
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ONDL: An optimized Neutrosophic Deep Learning model for classifying waste for sustainability.

PloS one Nov 8, 2024
Sustainability has become a key factor on our planet. If this concept is applied correctly, our planet will be greener and more eco-friendly. Nowadays, waste classification and management practices have become more evident than ever. It plays a cruci...
Recycling Deep Learning Waste Management Conservation of Natural Resources Algorithms
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A hybrid classification and evaluation method based on deep learning for decoration and renovation waste in view of recycling.

Waste management (New York, N.Y.) Nov 4, 2024
The escalating volume of decoration and renovation waste (D&RW) amid the rapid urbanization in China has posed significant challenges for the effective recycling of this waste stream, primarily due to the difficulty of accurately assessing its precis...
Waste Management China Recycling Deep Learning
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Improved prediction accuracy for compressive strength of recycled aggregate concrete using optimization-based algorithms and cascade forward neural network.

Journal of environmental management Oct 30, 2024
This study proposed a data driven approach to predict the compressive strength (CS) of recycled aggregate concrete (RAC) for sustainable construction using an elite single genetic optimization algorithm-based cascade forward neural network (ESGA-CFNN...
Neural Networks, Computer Algorithms Recycling Compressive Strength Construction Materials
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Deep learning approaches for classification of copper-containing metal scrap in recycling processes.

Waste management (New York, N.Y.) Oct 24, 2024
Separating copper from iron scrap is a critical operation in metal recycling and achieving this with low cost sensoric equipment like RGB cameras instead of XRF/XRT is becoming increasingly attractive. In this article, the groundwork for creating an ...
Iron Deep Learning Recycling Copper
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Prediction for the recycle of phosphate tailings in enhanced gravity field based on machine learning and interpretable analysis.

Waste management (New York, N.Y.) Sep 20, 2024
Recleaning phosphate tailings using the low-cost enhanced gravity separation method is beneficial for maximizing the recovery of phosphorus element. A machine learning framework was constructed to predict the target variables of the yield, grade, and...
Phosphates Machine Learning Mining Recycling Gravitation
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Lightweight deep learning model for underwater waste segmentation based on sonar images.

Waste management (New York, N.Y.) Sep 14, 2024
In recent years, the rapid accumulation of marine waste not only endangers the ecological environment but also causes seawater pollution. Traditional manual salvage methods often have low efficiency and pose safety risks to human operators, making au...
Waste Management Deep Learning Recycling Neural Networks, Computer
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Machine learning constructs the microstructure and mechanical properties that accelerate the development of CFRP pyrolysis for carbon-fiber recycling.

Waste management (New York, N.Y.) Sep 10, 2024
The increasing use of carbon-fiber-reinforced plastic (CFRP) has led to its post-end-of-life recycling becoming a research focus. Herein, we studied the macroscopic and microscopic characteristics of recycled carbon fiber (rCF) during CFRP pyrolysis ...
Plastics Recycling Carbon Fiber Machine Learning Carbon Pyrolysis
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