Abstract: Indonesia is the second largest waste-producing country in the world after Saudi Arabia, with a waste disposal rate of up to 300 kg per person yearly, which is expected to increase by 2025.

This project utilizes the VGG16 convolutional neural network architecture to classify waste into two categories: recycle waste and organic waste. The aim is to provide an automated solution for waste ...

Recycling waste material is a huge challenge globally. This is because waste is not only challenging to sort at the human level, but it is also time consuming and often hazardous. One promising area ...

Abstract: Classification of waste on a large scale is complicated, making it difficult to sort and recycle the waste. Many existing systems use models like CNN and architectures such as ResNet, ...

Delving into the intricacies of waste management, researchers explore the application of laser-induced breakdown spectroscopy technology for the identification and classification of recyclable waste.

In the coming three years, Shanghai will step up efforts to launch a series of measures to promote the city's household waste ...

WASHINGTON, July 25, 2023 – Managing and classifying waste accurately for reuse is a growing challenge in environmental protection. Addressing this issue, researchers at Hefei University of Technology ...

The Minister of Water and Environmental Affairs, Mrs Edna Molewa published the Waste Classification and Management Regulations and the Norms and Standards for the Assessment of Waste for Landfill and ...