This study comprises of an analysis of various Machine Learning (ML) algorithms for
municipal solid waste management to enhance waste management procedures and reduce …

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 …

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 …

Solid waste management (SWM) is a crucial management entity in urban cities to handle the
waste from its generation to disposal to accomplish a clean environment. The waste …

Rapid urbanisation and subsequent growth in population have brought about a worldwide
spike in the production of municipal solid waste. Poor management skills in the collection of …

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 …

One of the pressing issues any country faces is managing solid wastes. Traditionally,
several methods have been used in the past to manage the increasing quantity of solid …

In this paper, we present a comprehensive review of research dedicated to applications of
machine learning in Solid waste management. The works analyzed were categorized in …

Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …

Waste management is one of the biggest challenges facing the world today. The amount of
solid garbage created by the growing urban population makes it hard to manage with …