Abstract: With the acceleration of urbanization and population growth, household waste generation has surged dramatically, rendering traditional waste classification methods inadequate for efficient ...

Abstract: This study presents a robust waste classification model leveraging a Custom Convolutional Neural Network (CNN) architecture to accurately categorize waste into Recyclable and Organic ...

Environmental compliance touches every part of the O&G and manufacturing industries, from day-to-day operations to long-term planning. Yet one of its most basic requirements, proper waste ...

Will nuclear waste travel all the way from Ontario, Canada to a site about an hour drive from Salt Lake City? An interstate panel may consider a resolution later this month on whether to allow ...

This project implements a computer vision system for automated waste classification. Using deep learning techniques, the model categorizes waste materials into three classes: metal, paper, and plastic ...