A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
— Congestion caused by a large number of interacting TCP flows at a bottleneck network link is different from that caused by a lesser number of flows sending large amounts of d...
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Intrusion Detection System (IDS) is an important security enforcement tool in modern networked information systems. Obtaining an optimal IDS configuration for effective detection o...
We present the design, implementation, and evaluation of a Time Division Multiplex (TDM) MAC protocol for multihop wireless mesh networks using a programmable wireless platform. E...