Using monitored physical parameters in a learning process, we decrease design margins by reducing uncertainties on the input parameters of a Quality of Transmission (QoT) tool, improving the accura
The learning data requirements are analyzed for the construction of stealth attacks in state estimation.
Recent negative results on learning Deterministic Finite Automata (DFAs) have encouraged researchers to investigate alternative models of learning in which more information is available to the lear
We construct a graph neural network (GNN) to compute, within a time budget of 1 to 2 milliseconds required by practical systems, the optimal linear precoder (OLP) maximizing the minimal (Max-Min) d
Is perception of the whole based on perception of its parts?
Multipath TCP (MPTCP) has emerged as a facilitator for harnessing and pooling available bandwidth in wireless/wireline communication networks and in data centers.
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face.
There are many applications in which it is desirable to order rather than classify instances.
Why do some people have much more difficulty than others in learning a computer-based skill?
Accurate prediction of wireless network performance is important when performing link adaptation or resource allocation.
