Waste management is a major issue with the emerging growth in the world population, and
we need to find efficient ways to recycle and reuse waste. Segregating waste has become a …

In this paper, we have proposed a fully automated waste management system to implement
waste segregation. The method adopted is computer vision and deep learning paired with …

An alarming rate of the rising population of India produces mushrooming waste day by day.
Collected waste may not be in segregated form, so most of the waste ends up in landfills …

Deep learning (DL), machine learning (ML), computer vision, and Internet of things (IoT)
have played a significant role in innovation of new intelligent and smart systems having …

In the recent years, one of the underlying effects of a growing population is environmental
hazard. Of these problems, the increasing amount of trash is the most critical. As the world's …

The Internet of Things (IoT) has a significant impact on research for real time data
monitoring. Waste segregation and control based on IoT is a significant task in metropolitan …

Urban areas are facing challenges in waste management systems due to the rapid growth of
population in cities, causing huge amount of waste generation. As traditional waste …

The neat and clean surrounding is the main driving force for any city to be called as “smart
city”. Many modern cities are currently encumbered with various challenges such as smart …

Municipal solid waste management has been one of the most critical issues of urban cities
today. Increasing population, constructions, industries, etc. are the major factors creating a …

In the Philippines, solid waste management is still a significant problem. Improper waste
disposal causes serious health problems and environmental risks such as contamination of …