AIMC Topic: Waste Management

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How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence.

Waste management (New York, N.Y.) Mar 2, 2016
In global demand of improvement of electrical and electronic waste management systems, stakeholders look for effective collection systems that generate minimal costs. In this study we propose a novel model for application in mobile collection schemes...
Models, Theoretical Recycling Waste Management Poland Cities Electronic Waste Refuse Disposal Artificial Intelligence
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Artificial Intelligence for the Evaluation of Operational Parameters Influencing Nitrification and Nitrifiers in an Activated Sludge Process.

Microbial ecology Feb 23, 2016
Nitrification at a full-scale activated sludge plant treating municipal wastewater was monitored over a period of 237 days. A combination of fluorescent in situ hybridization (FISH) and quantitative real-time polymerase chain reaction (qPCR) were use...
Ammonia Waste Management Nitrobacter Temperature Nitrification Real-Time Polymerase Chain Reaction Models, Theoretical Artificial Intelligence In Situ Hybridization, Fluorescence Sewage Bacteria DNA, Bacterial
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Impact of pH Management Interval on Biohydrogen Production from Organic Fraction of Municipal Solid Wastes by Mesophilic Thermophilic Anaerobic Codigestion.

BioMed research international Dec 27, 2015
The biohydrogen productions from the organic fraction of municipal solid wastes (OFMSW) were studied under pH management intervals of 12 h (PM12) and 24 h (PM24) for temperature of 37 ± 0.1°C and 55 ± 0.1°C. The OFMSW or food waste (FW) along with it...
Hydrogen Hot Temperature Solid Waste Anaerobiosis Waste Management Hydrogen-Ion Concentration
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Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case.

Environmental science and pollution research international Nov 17, 2015
The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA) model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular Reactor (SBBGR) with the aim of providing an effective tool for predicting the fl...
Neural Networks, Computer Wastewater Biomass Waste Disposal, Fluid Water Purification Biological Oxygen Demand Analysis Travel Bioreactors Nitrogen Sewage Phosphorus Waste Management
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Prediction of municipal solid waste generation using nonlinear autoregressive network.

Environmental monitoring and assessment Nov 17, 2015
Most of the developing countries have solid waste management problems. Solid waste strategic planning requires accurate prediction of the quality and quantity of the generated waste. In developing countries, such as Malaysia, the solid waste generati...
Waste Management Population Growth Neural Networks, Computer Gross Domestic Product Models, Theoretical Developing Countries Environmental Monitoring Solid Waste Malaysia Algorithms Forecasting
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Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case study of Fars province, Iran.

Waste management (New York, N.Y.) Oct 9, 2015
Predicting the mass of solid waste generation plays an important role in integrated solid waste management plans. In this study, the performance of two predictive models, Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) was verifi...
Solid Waste Neural Networks, Computer Waste Management Regression Analysis Models, Theoretical Iran Seasons Multivariate Analysis
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Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

Environmental research Aug 15, 2025
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainable concrete mixtures that incorporate waste-derived materials. The primary objectives are to reduce global warming potential (GWP) and promote a circul...
Waste Management Uncertainty Global Warming Carbon Construction Materials Machine Learning
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An analytic hierarchy process combined with artificial neural network model to evaluate sustainable sludge treatment scenarios.

Waste management (New York, N.Y.) Jun 15, 2025
Sludge management in China faces critical environmental, economic, and technical challenges, necessitating urgent optimal management strategy selection. Given the limited number of comprehensive studies on sludge management, quantitative decision-mak...
Sewage Waste Management China Neural Networks, Computer Waste Disposal, Fluid Models, Theoretical
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A Systematic Review of AI-Based Techniques for Automated Waste Classification.

Sensors (Basel, Switzerland) May 18, 2025
Waste classification is a critical step in waste management that is time-consuming and necessitates automation to replace traditional approaches. Recently, machine learning (ML) and deep learning (DL) have gained attention from researchers seeking to...
Automation Waste Products Neural Networks, Computer Waste Management Artificial Intelligence Machine Learning Humans Deep Learning
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Transforming urban waste collection inventory: AI-Based container classification and Re-Identification.

Waste management (New York, N.Y.) May 15, 2025
This work lays the groundwork for creating an automated system for the inventory of urban waste elements. Our primary contribution is the development of, to the best of our knowledge, the first re-identification system for urban waste elements that u...
Artificial Intelligence Cities Spain Waste Management
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