AIMC Topic: Refuse Disposal

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Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis.

Environmental science and pollution research international Jan 6, 2021
Rapid population growth integrated with poor governance and urban planning is highly challenging resulting key for the selection of unsuitable landfill sites, particularly in developing counties. Therefore, the aim of this study is to investigate the...
Waste Disposal Facilities Refuse Disposal Geographic Information Systems Cities Fuzzy Logic Solid Waste
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A multi-attribute decision-making-based site selection assessment algorithm for garbage disposal plant using interval q-rung orthopair fuzzy power Muirhead mean operator.

Environmental research Nov 7, 2020
With the increase of the global population and the improvement of people's living standards, the output of garbage generated by human activities is also increasing day by day. Choosing an appropriate garbage disposal site is one of the key links for ...
Algorithms Fuzzy Logic Humans Uncertainty Decision Making Refuse Disposal
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A comparison of fuzzy logic and TOPSIS methods for landfill site selection according to field visits, engineering geology approach and geotechnical experiments (case study: Rudbar County, Iran).

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Sep 16, 2020
The present study evaluated and selected the best location among susceptible landfill sites in Rudbar County using 27 criteria, as the maximum effective criteria, in the decision-making process. The emergence and comparison between the two methods of...
Geology Refuse Disposal Iran Waste Disposal Facilities Fuzzy Logic
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Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion.

The Science of the total environment Dec 23, 2019
The objective of this study is to apply machine learning models to accurately predict daily biomethane production in an industrial-scale co-digestion facility. The methodology involved applying elasticnet, random forest, and extreme gradient boosting...
Methane Food Refuse Disposal Machine Learning Anaerobiosis
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An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy.

International journal of environmental research and public health Aug 13, 2019
Sustainable urban development (SUD) requires a balance between economic growth, social well-being, and environmental protection. Oftentimes, urban policy makers can hardly fulfill all SUD goals due to inadequacy of resources to support SUD programs. ...
Refuse Disposal Fuzzy Logic Sustainable Development Humans Conservation of Natural Resources Urbanization
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Innovation hotspots in food waste treatment, biogas, and anaerobic digestion technology: A natural language processing approach.

The Science of the total environment Apr 7, 2019
The objective of this study is to apply natural language processing to identifying innovative technology trends related to food waste treatment, biogas, and anaerobic digestion. The methodology used involved analyzing large volumes of text data mined...
Anaerobiosis Methane Bioreactors Biofuels Natural Language Processing Refuse Disposal Food
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Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis.

Environmental science and pollution research international Oct 7, 2016
This paper presents the development of a general regression neural network (GRNN) model for the prediction of annual municipal solid waste (MSW) generation at the national level for 44 countries of different size, population and economic development ...
Neural Networks, Computer Forecasting Solid Waste Developed Countries Waste Management Models, Theoretical Developing Countries Refuse Disposal
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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...
Refuse Disposal Models, Theoretical Recycling Waste Management Poland Artificial Intelligence Electronic Waste Cities
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Review of Advanced Technologies and Circular Pathways for Food Waste Valorization.

Journal of agricultural and food chemistry Jul 2, 2025
Food waste (FW) valorization provides a sustainable solution to global waste challenges by enhancing resource efficiency and enabling a circular bioeconomy. This review highlights the need to shift from linear disposal to circular strategies and asse...
Biofuels Refuse Disposal Food Loss and Waste Food Waste Products
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