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 …
City classification for municipal solid waste prediction in mainland China based on K-means clustering
X Du, D Niu, Y Chen, X Wang, Z Bi - Waste Management, 2022 - Elsevier
Cities in mainland China are usually classified according to geographical locations. This
traditional city classification system is limited to relative fixed factors, which lives out a gap in …
traditional city classification system is limited to relative fixed factors, which lives out a gap in …
Development of machine learning multi-city model for municipal solid waste generation prediction
W Lu, W Huo, H Gulina, C Pan - Frontiers of Environmental Science & …, 2022 - Springer
Integrated management of municipal solid waste (MSW) is a major environmental challenge
encountered by many countries. To support waste treatment/management and national …
encountered by many countries. To support waste treatment/management and national …
Predictive analysis of municipal solid waste generation using an optimized neural network model
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …
implementing sustainable development. The research proposed the application of an …
Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case …
S Azadi, A Karimi-Jashni - Waste management, 2016 - Elsevier
Predicting the mass of solid waste generation plays an important role in integrated solid
waste management plans. In this study, the performance of two predictive models, Artificial …
waste management plans. In this study, the performance of two predictive models, Artificial …
Machine learning based prediction for China's municipal solid waste under the shared socioeconomic pathways
Reliable forecast of municipal solid waste (MSW) generation is crucial for sustainable and
efficient waste management. Big data analysis is a novel method to forecast MSW more …
efficient waste management. Big data analysis is a novel method to forecast MSW more …
Development of machine learning-based models to forecast solid waste generation in residential areas: A case study from Vietnam
The main aim of this work was to compare six machine learning (ML)-based models to
predict the municipal solid waste (MSW) generation from selected residential areas of …
predict the municipal solid waste (MSW) generation from selected residential areas of …
Municipal solid waste generation in China: influencing factor analysis and multi-model forecasting
In the developing countries, the inadequacy of basic waste data is a significant obstacle for
municipal solid waste management. To evaluate an effective waste management plan …
municipal solid waste management. To evaluate an effective waste management plan …
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 …
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 …