Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation
Future projections of municipal solid waste (MSW) generation trends can resolve data
inadequacy in formulating a sustainable MSW management framework. Artificial neural …
inadequacy in formulating a sustainable MSW management framework. Artificial neural …
Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction
Improper municipal solid waste (MSW) management contributes to greenhouse gas
emissions, necessitating emissions reduction strategies such as waste reduction, recycling …
emissions, necessitating emissions reduction strategies such as waste reduction, recycling …
Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation
MS Jassim, G Coskuner… - Waste Management & …, 2022 - journals.sagepub.com
The evolution of machine learning (ML) algorithms provides researchers and engineers with
state-of-the-art tools to dynamically model complex relationships. The design and operation …
state-of-the-art tools to dynamically model complex relationships. The design and operation …
Forecasting municipal solid waste generation using artificial intelligence modelling approaches
M Abbasi, A El Hanandeh - Waste management, 2016 - Elsevier
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 …
protect human health, the environment and to preserve natural resources. The design and …
Machine learning approaches for municipal solid waste generation forecasting
P Oguz-Ekim - Environmental Engineering Science, 2021 - liebertpub.com
Municipal solid waste (MSW) generation forecasting can be considered as the biggest
challenge of integrated solid waste management systems, particularly for developing …
challenge of integrated solid waste management systems, particularly for developing …
Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network
Accurate prediction of domestic waste generation is a challenging task for municipalities to
implement sustainable waste management strategies. In the present study, domestic waste …
implement sustainable waste management strategies. In the present study, domestic waste …
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 …
Detection of long-term effect in forecasting municipal solid waste using a long short-term memory neural network
D Niu, F Wu, S Dai, S He, B Wu - Journal of Cleaner Production, 2021 - Elsevier
Researchers have been successfully applied artificial neural networks (ANNs) in the time-
series analysis and forecasting of municipal solid waste (MSW). Despite the reported high …
series analysis and forecasting of municipal solid waste (MSW). Despite the reported high …
A novel domain knowledge-informed machine learning approach for modeling solid waste management systems
Sustainability challenges, such as solid waste management, are usually scientifically
complex and data scarce, which makes them not amenable to science-based analytical …
complex and data scarce, which makes them not amenable to science-based analytical …
[HTML][HTML] An ensemble learning based classification approach for the prediction of household solid waste generation
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …
generation has become a fundamental task. Recent studies have started applying machine …