AIMC Topic: Waste Management

Clear Filters Showing 11 to 20 of 80 articles

Prototype of AI-powered assistance system for digitalisation of manual waste sorting.

Waste management (New York, N.Y.) Jan 25, 2025
Global waste generation is projected to reach 3.40 billion tons by 2050, necessitating improved waste sorting for effective recycling and progress toward a circular economy. Achieving this transformation requires higher sorting intensity through inte...
Waste Management Recycling Machine Learning Artificial Intelligence
View on PubMed DOI

Enhancing waste classification accuracy with Channel and Spatial Attention-Based Multiblock Convolutional Network.

Environmental monitoring and assessment Jan 25, 2025
Municipal waste classification is significant for effective recycling and waste management processes that involve the classification of diverse municipal waste materials such as paper, glass, plastic, and organic matter using diverse techniques. Yet,...
Neural Networks, Computer Waste Management Waste Products
View on PubMed DOI

Machine learning-based automated waste sorting in the construction industry: A comparative competitiveness case study.

Waste management (New York, N.Y.) Jan 8, 2025
This article presents a comparative analysis of the circularity and cost-efficiency of two distinct construction material recycling processes: ML-based automated sorting (MLAS) and conventional sorting technologies. Empirical data was collected from ...
Machine Learning Construction Materials Recycling Cost-Benefit Analysis Industrial Waste Construction Industry Automation Finland Waste Management
View on PubMed DOI

Enhancing door-to-door waste collection forecasting through ML.

Waste management (New York, N.Y.) Jan 7, 2025
We explore the application of machine learning (ML) techniques to forecast door-to-door waste collection, addressing the challenges in municipal solid waste (MSW) management. ML models offer a promising solution to optimize waste collection operation...
Forecasting Cities Waste Management Solid Waste Machine Learning Refuse Disposal Italy
View on PubMed DOI

The development of a waste management and classification system based on deep learning and Internet of Things.

Environmental monitoring and assessment Dec 26, 2024
Waste sorting is a key part of sustainable development. To maximize the recovery of resources and reduce labor costs, a waste management and classification system is established. In the system, we use Internet of Things (IoT) and edge computing to im...
Recycling Waste Management Internet of Things Deep Learning
View on PubMed DOI

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...
Recycling Waste Management Deep Learning Neural Networks, Computer
View on PubMed DOI

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-...
Plastics Models, Theoretical Waste Management Artificial Intelligence Recycling China Refuse Disposal Neural Networks, Computer
View on PubMed DOI

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 Artificial Intelligence Cities
View on PubMed DOI

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...
Hydrogen Biofuels Waste Management Vegetables Machine Learning Fermentation Biomass
View on PubMed DOI

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
View on PubMed DOI
Popular Topics
Recent Journals