AIMC Topic: Waste Management

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ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification.

Waste management (New York, N.Y.) Dec 19, 2024
Efficient waste management is essential to minimizing environmental harm as well as encouraging sustainable progress. The escalating volume and sophistication of waste present significant challenges, prompting innovative methods for effective waste c...
Waste Management Neural Networks, Computer Recycling Deep Learning
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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-...
Waste Management Refuse Disposal Recycling China Plastics Models, Theoretical Neural Networks, Computer Artificial Intelligence
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Turning trash into treasure: Exploring the potential of AI in municipal waste management - An in-depth review and future prospects.

Journal of environmental management Dec 9, 2024
Rapid urbanization, economic expansion, and population growth have increased waste generation in many nations worldwide. Research on municipal waste management (MWM) is moving towards new frontiers in efficiency and applicability due to the growing a...
Waste Management Cities Artificial Intelligence
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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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Recent advances in dark fermentative hydrogen production from vegetable waste: role of inoculum, consolidated bioprocessing, and machine learning.

Environmental science and pollution research international Dec 6, 2024
Waste-centred-bioenergy generation have been garnering interest over the years due to environmental impact presented by fossil fuels. Waste generation is an unavoidable consequence of urbanization and population growth. Sustainable waste management t...
Machine Learning Biofuels Hydrogen Waste Management Fermentation Vegetables Biomass
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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 Algorithms Waste Management Conservation of Natural Resources
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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...
Recycling Waste Management Deep Learning China
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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 ...
Machine Learning Waste Management Plastics Catalysis Environmental Restoration and Remediation
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Can " Zero waste city" policy promote green technology? Evidence from econometrics and machine learning.

Journal of environmental management Oct 13, 2024
The promotion of green technology innovation (GTI) is regarded as an effective way to protect the environment and achieve sustainable development. The "Zero waste city" construction pilot policy (ZWCP), is an important policy for the promotion of was...
Cities Waste Management Sustainable Development Machine Learning
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Optimizing waste handling with interactive AI: Prompt-guided segmentation of construction and demolition waste using computer vision.

Waste management (New York, N.Y.) Sep 24, 2024
Optimized and automated methods for handling construction and demolition waste (CDW) are crucial for improving the resource recovery process in waste management. Automated waste recognition is a critical step in this process, and it relies on robust ...
Image Processing, Computer-Assisted Algorithms Artificial Intelligence Waste Management Construction Materials
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