Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components
Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered
environmental pollutants that are a threat to ecology and human health. Predicting SW …
environmental pollutants that are a threat to ecology and human health. Predicting SW …
New insights into regional differences of the predictions of municipal solid waste generation rates using artificial neural networks
F Wu, D Niu, S Dai, B Wu - Waste Management, 2020 - Elsevier
As one of the most popular non-linear models, artificial neural network (ANN) has been
successfully applied in the prediction of municipal solid waste (MSW). Despite its high …
successfully applied in the prediction of municipal solid waste (MSW). Despite its high …
Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches
M Kannangara, R Dua, L Ahmadi, F Bensebaa - Waste management, 2018 - Elsevier
The main objective of this study was to develop models for accurate prediction of municipal
solid waste (MSW) generation and diversion based on demographic and socio-economic …
solid waste (MSW) generation and diversion based on demographic and socio-economic …
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
Waste management using machine learning and deep learning algorithms
Waste Management is one of the essential issues that the world is currently facing does not
matter if the country is developed or under developing. The key issue in this waste …
matter if the country is developed or under developing. The key issue in this waste …
Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A …
K Lin, Y Zhao, L Tian, C Zhao, M Zhang… - Science of The Total …, 2021 - Elsevier
Municipal solid waste (MSW) amount has direct influence on MSW management, policy-
decision making, and MSW treatment methods. Machine learning has great potential for …
decision making, and MSW treatment methods. Machine learning has great potential for …
Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
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 …
of planning and implementation of sustainable solid waste management strategies. In this …
[HTML][HTML] Data-driven models applying in household hazardous waste: Amount prediction and classification in Shanghai
Precisely predicting the amount of household hazardous waste (HHW) and classifying it
intelligently is crucial for effective city management. Although data-driven models have the …
intelligently is crucial for effective city management. Although data-driven models have the …
Prediction of the production of separated municipal solid waste by artificial neural networks in Croatia and the European Union
Given that global amounts of waste are growing rapidly, it is extremely important to
determine what amount of waste will be generated in the near future. Accurate waste …
determine what amount of waste will be generated in the near future. Accurate waste …
Optimal policy-making for municipal waste management based on predictive model optimization
Waste management is an issue of grave concern in the modern urban scenario with the
exponentially rising population. Over the past few decades, the Korean government has …
exponentially rising population. Over the past few decades, the Korean government has …