Waste management is a complex and challenging process, especially waste classification to
sort waste by categories. The paper aims to overcome these challenges by proposing a …

Waste classification plays a crucial role in effective waste management practices, aiding in
the identification and sorting of different types of waste materials. With the increasing volume …

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 …

The development of the global economy has caused people's living standards to increase
and the production of domestic waste has also increased from year to year. The population …

The categorization of waste plays a crucial part in efficient waste management, facilitating
the recognition and segregation of various waste types to ensure appropriate disposal …

Because of its adaptability and scalability in packaging, plastic is being used more and
consumed more, both of which are dramatically rising. Waste categorization and separation …

Managing solid waste effectively requires the proper classification of waste. To determine
whether a waste is organic or recyclable, machine learning methods can be used. This study …

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

One of the cornerstones to efficient waste management is proper and accurate waste
classification. However, people find it challenging to categorize such a big and diverse …

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 …