In this paper, we propose a new multiuser detector based on a symbol rate state-space model of the CDMA system.
Crowdsourcing has been proven to be an effective and efficient tool to annotate large data-sets.
Bayesian nonparametric (BNP) models present several desirable properties.
This paper studies the allocation of shared resources between ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) in the emerging 5G and beyond cellular networks.
A new approach of sequential parameter learning is proposed for a special general class of state-space model where the state equation is linear with Gaussian noise.
In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their movie ratings with friends.
Using the pseudopotential local-density-functional approach, the lattice constant, the x-parameter for atomic coordinates, and the phonon frequency of gamma(1)(+) are calculated for the BC-8 phases
The BCG2 project proposes to separate the signaling and data transmission in a wireless network. Such separation allow efficient and dynamic network configuration according to the required load.
BCG2 project investigates the potential energy savings that can be achieved from a new system architecture based on the separation between signaling and data networks at the radio interface of mobi
Anecdotal history of BCTM during its first thirty years, written by the originator and a faithful attendee.
