The focus of this research is on addressing the inefficient management of Municipal Solid
Waste (MSW), which often results in large quantities of waste being dumped into garbage …

The efficient collection of municipal solid waste poses a significant challenge for the
prospective development of smart cities. Using Internet of Things (IoT) technology enables …

In recent years, intelligent transportation system (ITS) techniques have been widely
exploited to enhance the quality of public services. As one of the worldwide leaders in …

Efficient waste management has been a major problem for municipalities in urban
communities. The one important task is to find the optimum route for the waste collection …

In the most recent few decades, there has been a significant increase all over the world in
the amount of waste electronic equipment. This is a result of a number of factors, including …

The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …

The rapid growth of smart cities and industry causes an increase in waste production. The
amount of municipal solid waste (MSW) increases by several factors, including population …

The exponentially growing population, urbanization, and economic development have led to
the rising generation of municipal solid waste. Municipal solid waste management is thus a …

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

Purpose An efficient e-waste management system is developed, aided by deep learning
techniques. Here, a smart bin system using Internet of things (IoT) sensors is generated. The …