This article focuses on the cascading failure problem and node importance evaluation method in complex networks. To address the issue of identifying important nodes in dynamic networks, the method ...

Skirmishes are won and lost because of dynamic and accurate decision-making based on near real-time access to critical information. That information can come from a satellite, battlefield sensor or ...

While current technology permits inference of dynamic brain networks over long time periods at high temporal resolution, the detailed structure of dynamic network communities during human seizures ...

Speed, simplicity, security and convenience are critical in a customer-first world, where one minute of downtime can mean long-term consequences for a business’s brand reputation and bottom line. When ...

Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...

T-Mobile's Dynamic CX layers AI onto its existing network to predict congestion and shift capacity ahead of World Cup crowds.

Real-time networking capabilities, including automatic reconfiguring of the network when a node is added or deleted, the capability of locating any user on the network and altering the network path ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

The service provider shares lessons learned from early adopters of its first Network on Demand service and outlines what comes next AT&T is pouring billions into its network to make it more dynamic, ...