With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

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 …

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 …

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

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 …

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 …

Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …

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 …

Abstract Information on waste generation rate (WGR) is useful for waste management.
Recently, several studies have been conducted to predict WGR using artificial intelligence …