AIMC Topic: Waste Management

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Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jun 25, 2020
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron artificial neural network (MLP-ANN...
Artificial Intelligence Solid Waste Waste Management Neural Networks, Computer
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill.

Environmental science and pollution research international Dec 3, 2018
Leachate is one of the main surface water pollution sources in Selangor State (SS), Malaysia. The prediction of leachate amounts is elementary in sustainable waste management and leachate treatment processes, before discharging to surrounding environ...
Gases Water Pollution, Chemical Artificial Intelligence Hydrology Algorithms Waste Disposal Facilities Support Vector Machine Malaysia Models, Theoretical Waste Management Water Pollutants, Chemical
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Time-lagged effects of weekly climatic and socio-economic factors on ANN municipal yard waste prediction models.

Waste management (New York, N.Y.) Nov 27, 2018
Efficient and effective solid waste management requires sufficient ability to predict the operational capacity of a system correctly. Waste prediction models have been widely studied and these models are always being challenged to perform more accura...
Waste Management Socioeconomic Factors Neural Networks, Computer Solid Waste Models, Theoretical
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Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling.

Computational intelligence and neuroscience Nov 1, 2018
This study proposes a multilayer hybrid deep-learning system (MHS) to automatically sort waste disposed of by individuals in the urban public area. This system deploys a high-resolution camera to capture waste image and sensors to detect other useful...
Algorithms Deep Learning Waste Products Waste Management Recycling Humans Neural Networks, Computer
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A computer-based approach for data analyzing in hospital's health-care waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models.

International journal of medical informatics Jul 11, 2018
BACKGROUND: Proper Health-Care Waste Management (HCWM) and integrated documentation in this sector of hospitals require analyzing massive data collected by hospital's health experts. This study presented a quantitative software-based index to assess ...
Decision Support Techniques Consensus Fuzzy Logic Humans Software Waste Management Hospital Administration Decision Making Medical Waste Disposal
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Statistical monitoring of a wastewater treatment plant: A case study.

Journal of environmental management Jul 5, 2018
The efficient operation of wastewater treatment plants (WWTPs) is key to ensuring a sustainable and friendly green environment. Monitoring wastewater processes is helpful not only for evaluating the process operating conditions but also for inspectin...
Wastewater Support Vector Machine Waste Management Algorithms Models, Theoretical
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Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development.

Environmental science and pollution research international Jan 18, 2017
Due to the existence of complexities of heterogeneities, hierarchy, discreteness, and interactions in municipal solid waste management (MSWM) systems such as Beijing, China, a series of socio-economic and eco-environmental problems may emerge or wors...
Waste Management Beijing Models, Theoretical Nonlinear Dynamics Solid Waste Fuzzy Logic
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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 ...
Developed Countries Neural Networks, Computer Forecasting Models, Theoretical Solid Waste Waste Management Developing Countries Refuse Disposal
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Forecasting municipal solid waste generation using artificial intelligence modelling approaches.

Waste management (New York, N.Y.) Jun 11, 2016
Municipal solid waste (MSW) management is a major concern to local governments to protect human health, the environment and to preserve natural resources. The design and operation of an effective MSW management system requires accurate estimation of ...
Solid Waste Waste Management Queensland Neural Networks, Computer Support Vector Machine Artificial Intelligence Fuzzy Logic Forecasting Models, Theoretical
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Modelling the removal of volatile pollutants under transient conditions in a two-stage bioreactor using artificial neural networks.

Journal of hazardous materials Mar 8, 2016
A two-stage biological waste gas treatment system consisting of a first stage biotrickling filter (BTF) and second stage biofilter (BF) was tested for the removal of a gas-phase methanol (M), hydrogen sulphide (HS) and α-pinene (P) mixture. The biore...
Biodegradation, Environmental Volatile Organic Compounds Monoterpenes Bioreactors Methanol Hydrogen Sulfide Neural Networks, Computer Waste Management Algorithms Bicyclic Monoterpenes Computer Simulation Air Pollutants
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