This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
- In multi-layered power/ground (P/G) networks, to connect the whole network together, vertical vias are usually placed at intersections between metal wires of adjoining layers. In...
Wireless networks are poised to enable a variety of existing and emerging video streaming applications. However, video streaming over wireless suffers from piracy and malicious at...
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...