A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
— Ad-hoc networking provides a cost-effective support structure for inter-vehicle communication. A decentralized peerto-peer information dissemination architecture is well suited...
Jatinder Pal Singh, Nicholas Bambos, Bhaskar Srini...
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
We will demonstrate a wireless sensor network system for the surveillance of critical areas and properties – e.g. borders. The system consists of up to 10 sensor nodes that moni...
Denise Dudek, Christian Haas, Andreas Kuntz, Marti...
—This paper provides analytical expressions to evaluate the performance of a random access wireless network in terms of user throughput and network throughput, subject to the con...