Network design problems constitute a critical area in operations research and engineering, where the objective is to construct or upgrade network infrastructures optimally under a range of constraints ...

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks. From ...

Q. How do location determination algorithms work for wireless LANs? How accurate are they? Can one detect mobility using these algorithms? Q: How do location determination algorithms work for wireless ...

Legitimate network management has to go beyond penalizing people for using more data, but researchers from MIT say the algorithms that are supposed to do that don't work as well as we thought. A newly ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

Technology startup MainRail has announced the development of predictive algorithms for the risk of rail buckling in ballasted tracks. By coordinating with the construction firm Azvi, MainRail started ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...