In wireless networks, it is well understood what throughput can be achieved by nodes who can hear each other (i.e. nodes within a single cell)[1, 3]. The effects of nodes beyond t...
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Information warfare has surfaced as an emerging concept that affects not only military institutions but ordinary organisations as well. Information warfare in itself consists of v...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...