The increasing number of people living in metropolitan areas increases the risk that garbage
will be disposed of in an unsustainable manner. Because of the high volume of people …

To eliminate the need for constant human monitoring and improve trash management in
large cities, a prototype system has been created. In this case, the issue of disorganized and …

With a view of the massive human resources and time requirements, the need for an
automated, more accurate, and quicker method for handling the classification of solid wastes …

Municipal waste management is crucial for cities as it enhances the urban atmosphere,
conserves assets, and safeguards the ecological balance. An adequate and effective waste …

Efficient waste management stands as a paramount concern in the current environmental
landscape. The proper handling, sorting, transportation, and disposal of waste materials are …

A startling shift in waste composition has been brought on by a dramatic change in lifestyle,
the quick expansion of consumerism brought on by fierce competition among producers of …

To achieve highly accurate biomedical waste classification at the start of a collection of
biomedical waste, researchers use a deep learning-based processor in this method along …

Waste management leads to the demolition of waste conducted by recycling and landfilling.
Deep learning and the Internet of things (IoT) confer an agile solution in classification and …

A neat and clean surrounding is the main driving force for any city to be called a smart city.
By 2050, it is expected that 66% of the world population will live in cities. The growing …

he research article titled “Machine Learning and IoT-Based Solid Waste Management:
Revolutionizing Efficiency and Sustainability for a Clean Environment” explores a …