Urbanization and rising populations are contributing significantly to the problem of garbage
generation in cities. For a quite long time, big cities all around the world have been …

Separating household waste into categories such as organic and recyclable is a critical part
of waste management systems to make sure that valuable materials are recycled and …

Waste classification is an essential part of environmental pollution management in modern
society. Object detection is an accurate and efficient way to classify waste, which is …

Environmental pollution has had substantial impacts on human life, and trash is one of the
main sources of such pollution in most countries. Trash classification from a collection of …

Waste segregation has become a daunting problem in the twenty-first century, as careless
waste disposal manifests significant ecological and health concerns. Existing approaches to …

In this paper, we propose an novel methodology aimed at simulating the learning
phenomenon of nystagmus through the application of differential blurring on datasets …

In today's world, waste management is a major concern, and efficient trash classification and
sorting are becoming more and more necessary. This work uses the VGG16 deep learning …

Several applications of deep neural network have come into the limelight these days, one of
them is the classification of solid waste material. Enormous amount of waste in generated in …

India is having a huge population and due to this it suffers from a lot of human wastage
disposal problem to combat this issue a good waste Segregation model is required …

When we want machines to perform tedious and dangerous tasks for us, it becomes
necessary to prepare them to efficiently emulate our smart thinking and learning. For …