Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Network World

Network evolution for the Agentic AI era

By evolving their network architecture to support real-time telemetry, segment routing, and FlexAlgo capabilities within ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Flow-Network-Based Method for the Reliability Analysis of Decentralized Power System Topologies With a Sequential Monte-Carlo Simulation

Abstract: This article introduces a sequential Monte-Carlo simulation method (MCS) based on flow networks to represent decentralized power systems and evaluate the reliability and availability of ...