AIMC Topic: Waste Management
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Reducing food waste in the HORECA sector using AI-based waste-tracking devices.
Waste management (New York, N.Y.)
Mar 1, 2025
This study assesses the effectiveness of an intervention employing an AI-based, fully automatic waste-tracking system for food waste reduction in HORECA establishments. Waste-tracking devices were installed in a restaurant within a holiday resort and...
Enhancing e-waste management: a novel light gradient AdaBoost support vector classification approach.
Environmental monitoring and assessment
Feb 27, 2025
The global consequences of electronic waste significantly affect the environment and human health. Accurate classification is essential for effective recycling and management to mitigate serious environmental harm caused by improper disposal. However...
Classification and predictive leaching risk assessment of construction and demolition waste using multivariate statistical and machine learning analyses.
Waste management (New York, N.Y.)
Feb 19, 2025
Managing construction and demolition waste (CDW) poses serious concerns regarding landfilling and recycling because of the potential release of hazardous elements after leaching. Ceramic materials such as bricks, tiles, and porcelain account for more...
Trustworthy and Human Centric neural network approaches for prediction of landfill methane emission and sustainable waste management practices.
Waste management (New York, N.Y.)
Jan 30, 2025
Landfills rank third among the anthropogenic sources of methane gas in the atmosphere, hence there is a need for greater emphasis on the quantification of landfill methane emission for mitigating environmental degradation. However, the estimation and...
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...
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,...
A systematic review of plastic recycling: technology, environmental impact and economic evaluation.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jan 18, 2025
In this systematic review, advancements in plastic recycling technologies, including mechanical, thermolysis, chemical and biological methods, are examined. Comparisons among recycling technologies have identified current research trends, including a...
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 ...
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...
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...
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