AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

Objectives To date, consistent evidence for consequences of heading in football (soccer) on the structure and function of the ...

Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy ...

We are pleased to partner with Carahsoft to expand Tom Sawyer Software’s reach in the Public Sector,” said Brendan Madden, CEO of Tom Sawyer Software. “This partnership represents a major step forward ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...

Scripts for tumor microenvironment metabolic network analysis: random flux sampling of genome-scale models and multifractal geometric topology of metabolic graphs The Census-Stub invariant descriptor ...