Comprehensive map reveals how E3 ligases organize protein cleanup in human cells

Individual mammalian cells contain billions of protein molecules, which must be synthesized, deployed, and removed with ...
Scientific Research Publishing

Circular Economy Transitions: Evaluating the Economic and Environmental Impacts of Waste-to-Resource Systems ()

This study quantitatively investigates the relationship between the implementation of waste-to-resource systems and the ...
Waste Advantage Magazine

Why Connected Intelligence Will Decide Who Survives the Next Decade in Waste

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...
Devdiscourse

Cities are drowning in waste and data-driven systems may be the only way out

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

Efficient Waste Classification using Deep Learning: A Case Study with Garbage, Paper, and Plastic Bags using the EfficientNetB3 Model

Abstract: This research study presents an efficient deep learning-based approach for the classification of waste materials, specifically focusing on garbage bags, paper bags, and plastic bags.
The New York Times

Norway’s Hedged Bet on Europe’s Energy Future: A Garbage Disposal for Emissions

A business called Northern Lights is seen as a model for efforts to pump carbon dioxide deep into wells, but high costs remain an obstacle. Northern Lights, backed by the Norwegian government, is ...
IEEE

Waste Classification and Monitoring Using Yolov8 A Deep Learning Object Detection Technique

Abstract: With rapid urbanization and population growth, effective waste management has become an important issue worldwide. Increasing waste generation poses serious risks to the environment, economy ...