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 ...

With a high population growth rate, the amount of household waste has increased correspondingly. Binh Duong generates approximately 2,200 tons of household waste everyday. Addressing household 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 ...

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.

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, ...

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 effective classification of urban domestic waste is the key to achieve a “waste-free city” and provides an essential guarantee for resource utilization. This article takes a coalitional game ...

Households, agencies and businesses in Tan An City's Ward 3 started sorting their waste for collection on Thursday. Waste is classified by environmental workers in Long An Province. The WWF and local ...

Residents of Viet Nam’s big cities have been separating their garbage for recycling for years, in both their houses and public areas. Children have been taught the difference between recycled and ...