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 ...

Data stream algorithms have become indispensable in handling the increasing volumes of network data generated in today’s digital environment. These algorithms skilfully process continuous streams of ...

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 ...

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 ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which supports how information, traffic, and resources move through networks ...

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 ...

In recent years, artificial intelligence technologies, especially the machine learning algorithms, have made great strides. These technologies have enabled unprecedented efficiency in tasks such as ...

Fueled by artificial intelligence (AI) algorithms, various AI embodiments, such as autonomous vehicles, robotic manipulators, and humanoid robots, have made significant advances yet remain far from ...