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 …

Municipal solid waste (MSW) is a result of human activities. Accurate forecasting of MSW
generation is crucial for sustainable management systems and planning. MSW is …

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 …

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 …

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 …

Municipal solid waste (MSW) generation forecasting has become an important tool for
decision-making in urban environments, not only due to its essential role in effective waste …

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 …

Abstract Development of a Municipal Solid Waste Management (MSWM) plan is a complex
process. As a foundation and prerequisite for efficient MSWM plan, quantification and …

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 …

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 …