Over the past few decades, increased attention has been paid to domestic waste (DW)
generation. DW comprises a large percentage of municipal solid waste (MSW), and its …

Municipal Solid Waste (MSW) management enact a significant role in protecting public
health and the environment. The main objective of this paper is to explore the utility of using …

Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …

Integrated large-scale solid waste management (SWM) policies are the need of the hour to
design, develop and sustain SWM models. An accurate prediction and forecasting of …

Municipal solid waste (MSW) management has become a highly challenging issue for many
countries at different levels of development since the growth of population and urbanisation …

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 …

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 …

We present a survey of machine learning works that attempt to organize the process flow of
waste management in smart cities. Unlike past reviews, we focused on the waste generation …

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 …

Municipal solid waste generation is an important parameter in waste management with
significant impacts on environment. There are many components directly influencing solid …