The disposal of solid waste, which includes firewood, plastic, metal, glass, and other
materials, has become a major issue as the number of industries in urban areas has grown …

Inefficiency in waste management contributes to the rising amount of pollution in the
community, causing the public demand for more proper waste management and …

An effective image classifier built on a convolutional neural network (CNN) is created, and it
can analyse training features to detect and identify any object that is considered to be …

Waste management is one of the biggest issues of the current era. We mainly have two
types of garbage one “Organic” which is self-degradable and another one is “Recyclable” …

To study the application of deep learning in the field of environmental protection, the
convolutional neural network VGG16 model is used to solve the problem of identification …

The world has accumulated an enormous amount of waste that the ways for collecting and
disposing of it are now out of human reach. The race is struggling to collect the waste and …

In the modern world waste pollution is the challenging environmental issues. To reduce
pollution, we need to recycle the waste. In order to recycle waste, one must know which …

In recent years, the phenomenon of" garbage besieged cities" has been reported frequently
in various places. The Chinese economy is in a stage of rapid development, the number of …

Waste management refers to a system that starts with classifying different kinds of waste and
gradually managing it from its inception to its final disposal. This type of study can bring …

The buildup of solid garbage in metropolitan areas is causing environmental contamination
and may be harmful to human health if not adequately controlled. A sophisticated/intelligent …