AIMC Topic: Plastics
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Efficient and stable extraction of nano-sized plastic particles enabled by bio-inspired magnetic "robots" in water.
Environmental pollution (Barking, Essex : 1987)
Dec 31, 2024
In this research, a rationally-designed strategy was employed to address the crucial issue of removing nano-plastics (NPs) from aquatic environments, which was based on fabricating sea urchin-like structures of FeO magnetic robots (MagRobots). Throug...
AI-based plastic waste sorting method utilizing object detection models for enhanced classification.
Waste management (New York, N.Y.)
Dec 16, 2024
The export ban on plastic waste by China has brought domestic plastic recycling to the forefront of environmental concerns, with sorting being a crucial step in the recycling process. This study assessed the performance of advanced AI models, Mask R-...
Extraction of agricultural plastic greenhouses based on a U-Net convolutional neural network coupled with edge expansion and loss function improvement.
Journal of the Air & Waste Management Association (1995)
Dec 12, 2024
Agricultural plastic greenhouses (APGs) are crucial for sustainable agricultural planting, and accurate spatial distribution information acquisition is crucial. Deep learning network models can extract target features from remote sensing images more ...
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...
The development of classification-based machine-learning models for the toxicity assessment of chemicals associated with plastic packaging.
Journal of hazardous materials
Nov 30, 2024
Assessing chemical toxicity in materials like plastic packaging is critical to safeguarding public health. This study presents the development of classification-based machine learning models to predict the toxicity of chemicals associated with plasti...
Microplastics and Trash Cleaning and Harmonization (MaTCH): Semantic Data Ingestion and Harmonization Using Artificial Intelligence.
Environmental science & technology
Nov 11, 2024
With the rapid expansion of microplastic research and reliance on semantic descriptors, there is an increasing need for plastic pollution data harmonization. Data standards have been developed but are seldom implemented across research sectors, geogr...
Impacts of micro/nano plastics on the ecotoxicological effects of antibiotics in agricultural soil: A comprehensive study based on meta-analysis and machine learning prediction.
The Science of the total environment
Oct 29, 2024
Micro/nano plastics (M/NPs) and antibiotics, as widely coexisting pollutants in environment, pose serious threats to soil ecosystem. The purpose of this study was to systematically evaluate the ecological effects of the co-exposure of M/NPs and antib...
Innovations in plastic remediation: Catalytic degradation and machine learning for sustainable solutions.
Journal of contaminant hydrology
Oct 24, 2024
Plastic pollution is an extreme environmental threat, necessitating novel restoration solutions. The present investigation investigates the integration of machine learning (ML) techniques with catalytic degradation processes to improve plastic waste ...
From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification.
Environmental science and pollution research international
Oct 24, 2024
Despite the urgent need for accurate and robust observations of microplastics in the marine environment to assess current and future environmental risks, existing procedures remain labour-intensive, especially for smaller-sized microplastics. In addi...
Plastic debris detection along coastal waters using Sentinel-2 satellite data and machine learning techniques.
Marine pollution bulletin
Oct 10, 2024
Few studies have effectively shown how to use satellites that gather optical data to monitor plastic debris in the marine environment. For the first time, floating macro-plastics distinguishable from seaweed are identified in optical data from the Eu...
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