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

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

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 …

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 …

Abstract Machine learning (ML) algorithms, such as neural networks, random forest, and
more recent deep learning, are illustrating their utility for waste recycling. The increasing …

Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …

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

Waste management has become a significant issue in most developing countries. Municipal
solid waste generation has been steadily increasing over the past decade. Recycling is …