AIMC Topic: Waste Management

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Multi-modal deep learning networks for RGB-D pavement waste detection and recognition.

Waste management (New York, N.Y.) Feb 6, 2024
To create a clean living environment, governments around the world have hired a large number of workers to clean up waste on pavements, which is inefficient for waste management. To better alleviate this problem, relevant scholars have proposed sever...
Deep Learning Recycling Waste Management Humans
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Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction.

Environmental pollution (Barking, Essex : 1987) Jan 17, 2024
Improper municipal solid waste (MSW) management contributes to greenhouse gas emissions, necessitating emissions reduction strategies such as waste reduction, recycling, and composting to move towards a more sustainable, low-carbon future. Machine le...
Neural Networks, Computer Machine Learning Greenhouse Gases Refuse Disposal Solid Waste Waste Management Carbon Air Pollutants
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Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild.

Journal of environmental management Jan 1, 2024
The construction industry generates a substantial volume of solid waste, often destinated for landfills, causing significant environmental pollution. Waste recycling is decisive in managing waste yet challenging due to labor-intensive sorting process...
Deep Learning Construction Materials Recycling Solid Waste Construction Industry Waste Management Industrial Waste
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Predicting opinion using deep learning: From burning to sustainable management of organic waste in Indian State of Punjab.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Dec 30, 2023
In winter season, the burning of crop residues for ease of sowing the next crop, along with industrial emissions and vehicular pollution leads to settling of a thick layer of smog in northern part of India. Therefore, to understand the opinion of far...
India Waste Management Neural Networks, Computer Deep Learning Dairying Farmers Humans
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Prediction of municipal solid waste generation and analysis of dominant variables in rapidly developing cities based on machine learning - a case study of China.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Aug 28, 2023
Prediction of municipal solid waste (MSW) generation plays an essential role in effective waste management. The main objectives of this study were to develop models for accurate prediction of MSW generation (MSWG) and analyze the influence of dominan...
Waste Management Population Density Refuse Disposal Models, Theoretical Solid Waste China Cities Neural Networks, Computer Machine Learning
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Garbage detection and classification using a new deep learning-based machine vision system as a tool for sustainable waste recycling.

Waste management (New York, N.Y.) Mar 28, 2023
Waste recycling is a critical issue for environment pollution management while garbage classification determines the recycling efficiency. In order to reduce labor costs and increase garbage classification capacity, a machine vision system is establi...
Refuse Disposal Garbage Recycling Waste Management Deep Learning
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Development of Machine Learning Model for Prediction of Demolition Waste Generation Rate of Buildings in Redevelopment Areas.

International journal of environmental research and public health Dec 21, 2022
Owing to a rapid increase in waste, waste management has become essential, for which waste generation (WG) information has been effectively utilized. Various studies have recently focused on the development of reliable predictive models by applying a...
Artificial Intelligence Machine Learning Algorithms Support Vector Machine Neural Networks, Computer Waste Management
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Recent advances in applications of artificial intelligence in solid waste management: A review.

Chemosphere Sep 29, 2022
Efficient management of solid waste is essential to lessen its potential health and environmental impacts. However, the current solid waste management practices encounter several challenges. The development of effective waste management systems using...
Waste Management Reproducibility of Results Solid Waste Artificial Intelligence Forecasting
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Deep learning hybrid predictions for the amount of municipal solid waste: A case study in Shanghai.

Chemosphere Aug 20, 2022
It is crucial to precisely estimate the municipal solid waste (MSW) amount for its sustainable management. Owing to learning complicated and abstract features between the factors and target, deep learning has recently emerged as one of the useful too...
Solid Waste China Waste Management Cities Humans Refuse Disposal Deep Learning
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Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production.

Chemosphere Aug 14, 2022
The growth and implementation of biofuels and bioenergy conversion technologies play an important part in the production of sustainable and renewable energy resources in the upcoming years. Recycling sources from waste could efficiently ease the risk...
Biofuels Animals Waste Management Recycling Deep Learning Spheniscidae Bayes Theorem
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