Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Abstract. Wireless sensor networks have several useful applications in commercial and defense settings, as well as user-centric personal area networks. To establish secure (point-t...
Abstract—Multipath streaming protocols have recently attracted much attention because they provide an effective means to provide high-quality streaming over the Internet. However...
Alix L. H. Chow, Hao Yang, Cathy H. Xia, Minkyong ...