Scientific Research Publishing

De-Risking Returns: How AI Can Reinvent Big Tech’s China-Tied Reverse Supply Chains ()

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
BMJ Global Health

Transitions in women’s experience of physical domestic violence during 2001–2020 and related risk and protective factors: the MINIMat longitudinal cohort study in rur…

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...
Opinion

The 3D-Flow Architecture Breakthrough: A Universal, Scalable Digital Processor for Real-Time Pattern Recognition in High-Rate Data Streams — A Platform to Save Millions of ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...
EurekAlert!

Deep learning-based video snapshot compressive imaging of Leidenfrost droplets

Researchers have developed a novel computational imaging system that integrates optical compression and deep learning to ...
IEEE

A Knowledge Graph Approach to Cyber Threat Mitigation Derived from Data Flow Diagrams

Abstract: Data Flow Diagrams (DFD) have proven effective in designing and analyzing the flow of data in enterprise systems. They serve as indispensable tools for enterprises that are undergoing ...
IEEE

Intelligent big data processing for wind farm monitoring and analysis based on cloud-technologies and digital twins: A quantitative approach

Abstract: Monitoring and analysis processes of big data are normally bound either to a technical or business context and even further separated into continuous or discrete resolution. In our approach ...