The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...

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 food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

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 ...