AIMC Topic: Waste Management

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Waste image classification based on transfer learning and convolutional neural network.

Waste management (New York, N.Y.) Sep 8, 2021
The rapid economic and social development has led to a rapid increase in the output of domestic waste. How to realize waste classification through intelligent methods has become a key factor for human beings to achieve sustainable development. Tradit...
Deep Learning Waste Management Neural Networks, Computer Algorithms
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A smart municipal waste management system based on deep-learning and Internet of Things.

Waste management (New York, N.Y.) Aug 27, 2021
A proof-of-concept municipal waste management system was proposed to reduce the cost of waste classification, monitoring and collection. In this system, we utilize the deep learning-based classifier and cloud computing technique to realize high accur...
Deep Learning Refuse Disposal Internet of Things Garbage Waste Management
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Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables.

International journal of environmental research and public health Aug 12, 2021
Construction and demolition waste (DW) generation information has been recognized as a tool for providing useful information for waste management. Recently, numerous researchers have actively utilized artificial intelligence technology to establish a...
Algorithms Waste Management Artificial Intelligence Machine Learning
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Digitalization of waste management: Insights from German private and public waste management firms.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jun 30, 2021
Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for material recognition and robotic automation, as key enablers to more effective and efficient waste manageme...
Germany Recycling Cross-Sectional Studies Waste Management Artificial Intelligence
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A European household waste management approach: Intelligently clean Ukraine.

Journal of environmental management Jun 10, 2021
The European-wide environmental obstacles of inefficient and unsustainable recycling systems and flows constrain household waste (HW) management, endangering the circular economy. The European 2020 strategy and ongoing environmental disasters indicat...
Recycling Solid Waste Artificial Intelligence Ukraine Waste Management
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Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning.

International journal of environmental research and public health Jan 17, 2021
Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be unde...
Solid Waste Waste Management Refuse Disposal Italy Costs and Cost Analysis Humans Cities Deep Learning
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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...
Solid Waste Neural Networks, Computer Waste Management Artificial Intelligence
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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...
Malaysia Waste Management Gases Water Pollution, Chemical Support Vector Machine Artificial Intelligence Water Pollutants, Chemical Algorithms Models, Theoretical Hydrology Waste Disposal Facilities
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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...
Solid Waste Waste Management Models, Theoretical Neural Networks, Computer Socioeconomic Factors
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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...
Deep Learning Recycling Waste Products Algorithms Humans Waste Management Neural Networks, Computer
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