Improper municipal solid waste (MSW) management contributes to greenhouse gas
emissions, necessitating emissions reduction strategies such as waste reduction, recycling …

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 …

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 …

Future projections of municipal solid waste (MSW) generation trends can resolve data
inadequacy in formulating a sustainable MSW management framework. Artificial neural …

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 …

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 …

Municipal solid waste (MSW) generation forecasting can be considered as the biggest
challenge of integrated solid waste management systems, particularly for developing …

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 …

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 is a major concern to local governments to
protect human health, the environment and to preserve natural resources. The design and …