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 …
Developing successful municipal waste management planning strategies is crucial for implementing sustainable development. The research proposed the application of an …
G Liang, F Panahi, AN Ahmed, M Ehteram… - Journal of Cleaner …, 2021 - Elsevier
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 …
Accurate prediction of municipal solid waste's quality and quantity is crucial for designing and programming municipal solid waste management system. But predicting the amount of …
D Singh, A Satija - International Journal of System Assurance Engineering …, 2018 - Springer
Accurate prediction of municipal solid waste generation has an important role in future planning and waste management system. The characteristics of the generated solid waste …
Background: Municipal solid waste (MSW) is the natural result of human activities. MSW generation modeling is of prime importance in designing and programming municipal solid …
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 …
A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in environmental areas because of their great self-learning capability and good accuracy in …
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 …