Renmin University researchers present a comprehensive survey of sampling- and sketch-based algorithms for distinct value estimation in big data, offering insights to accelerate database queries, enhance network security anomaly detection, and reduce cloud analytics costs.

Researchers unveil a new Python-based assertion verification framework for agile hardware design, enabling real-time error detection with minimal area and performance overhead to streamline prototyping and boost reliability.

Researchers at the University of South Australia are calling for a major shift in how cities manage tree root intrusions into household sewer systems that cost millions of dollars in repair bills each year.

Low carbon fuel policies are intended to reduce greenhouse gas (GHG) emissions from transportation. However, rigid carbon intensity (CI) accounting procedures in current policies may limit CI responsiveness across candidate sites and facilities. This study examines how low carbon fuel programs capture or overlook spatial variability and net electricity production in biofuel carbon intensity, influencing crediting outcomes and fuel selling prices.