We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
We study the problem of gathering information from the nodes of a multi-hop radio network into a pre-defined destination node under the interference constraints. In such a network,...
This paper tackles the problem of how two selfish users jointly determine the operating point in the achievable rate region of a two-user Gaussian interference channel through barg...
This paper proposes a network-initiated terminal mobility mechanism (NITM) to facilitate handover with the session initiation protocol (SIP) in 3GPP Voice over WLAN (3GPP VoWLAN). ...
Abstract--A real-time communication system with noisy feedback is considered. The system consists of a Markov source, forward and backward discrete memoryless channels, and a recei...