— In this paper, we study the survivability problem in hierarchical wireless access networks with dual-homed end users, who are connected to two base stations (BSs), a primary BS...
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
In EPONs, differentiated services enable higher quality of service (QoS) for some queues over others. However, owing to the coarse granularity of DiffServ, DiffServ in EPONs can ha...