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 …

Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

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 …

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 …

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 …

Solid waste management (SWM) has recently received more attention, especially in
developing countries, for smart and sustainable development. SWM system encompasses …

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 …

Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …

We propose a hybrid deep learning neural network model for accurately calculating
municipal solid waste (MSW) production and diversions with socioeconomic and …