This paper suggests a new approach to enhancing waste classification performance using
deep learning algorithms. Specifically, the proposed approach integrates an autoencoder …

In this paper, we propose an automated waste classification system that uses the help of
deep learning and image processing methods. The main objective of our proposed system …

In this paper, we propose an automated waste classification system that uses the help of
deep learning and image processing methods. The main objective of our proposed system …

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 …

Abstract waste is the total remnants of domestic, agricultural, industrial and productive
human activities, all the trash left somewhere, the neglect of which threatens and harms …

Background: Classification of organic and recyclable materials from the solid waste is one of
the primary challenges. Due to the world's expanding population and urbanization, waste is …

The proper handling of waste is one of the biggest challenges of modern society. Municipal
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …

The paper includes a classification model based on RCNN algorithm, using a dataset of
waste images with 9 different categories: Trash, plastic, metal objects, cardboard, papers …

Waste management has been done by humans through direct monitoring and classification
of the products or items that are to be sorted-out. Waste management are carried out in …

Unless adequate measures are taken for waste litter, the ecological balance may deteriorate
over time. The wastes disposed of the trash can be divided into two classes that are organic …