AIMC Topic: Waste Management
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Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning.
Environmental science and pollution research international
Apr 18, 2024
Resource recycling is considered necessary for sustainable development, especially in smart cities where increased urbanization and the variety of waste generated require the development of automated waste management models. The development of smart ...
Multi-objective location-routing optimization based on machine learning for green municipal waste management.
Waste management (New York, N.Y.)
Apr 12, 2024
Most of the existing municipal waste management (MWM) systems focus on the optimization of the waste disposal center locations and waste collection paths, which can be modeled based on the location-routing problem (LRP). This study models a green MWM...
Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Apr 6, 2024
Hospitals need to identify issues of greater importance on waste management because the implementation of many different strategies may lead to an unconscious increase in costs. Accordingly, the purpose of this study is to define the most effective w...
Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges.
Waste management (New York, N.Y.)
Feb 24, 2024
Aerobic composting stands as a widely-adopted method for treating organic solid waste (OSW), simultaneously producing organic fertilizers and soil amendments. This biologically-driven biochemical reaction process, however, presents challenges due to ...
Sensor-based characterization of construction and demolition waste at high occupancy densities using synthetic training data and deep learning.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Feb 22, 2024
Sensor-based monitoring of construction and demolition waste (CDW) streams plays an important role in recycling (RC). Extracted knowledge about the composition of a material stream helps identifying RC paths, optimizing processing plants and form the...
Waste management and artificial intelligence: Is it happening already?
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Feb 8, 2024
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...
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...
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...
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...
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