A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools...
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
— This paper develops a mechanism for detecting session hijacking attacks in wireless networks. The proposed scheme is based on detecting abrupt changes in the strength of the re...
—E-limited (or K-limited) scheduling is attractive because its performance is close to that of the exhaustive scheduling which is proven to be the optimal polling scheme for symm...