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 …
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 …
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 …
Deep learning hybrid predictions for the amount of municipal solid waste: a case study in Shanghai
It is crucial to precisely estimate the municipal solid waste (MSW) amount for its sustainable
management. Owing to learning complicated and abstract features between the factors and …
management. Owing to learning complicated and abstract features between the factors and …
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 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 …
[HTML][HTML] Forecasting of municipal solid waste multi-classification by using time-series deep learning depending on the living standard
The type and quantity of municipal solid waste are important factors for determining how
these wastes should be handled, managed, and valorised. This paper investigates the effect …
these wastes should be handled, managed, and valorised. This paper investigates the effect …
Longterm forecasting of solid waste generation by the artificial neural networks
M Ali Abdoli, M Falah Nezhad… - Environmental …, 2012 - Wiley Online Library
This study presents a new approach—preprocessing for reaching the stationary chain in
time series—to unravel the interpolating problem of artificial neural networks (ANN) for long …
time series—to unravel the interpolating problem of artificial neural networks (ANN) for long …
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 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 …