Automatic discovery of network applications is a very challenging task which has received a lot of attentions due to its importance in many areas such as network security, QoS prov...
Mahbod Tavallaee, Wei Lu, Ebrahim Bagheri, Ali A. ...
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
In this paper, we introduce a new type of coverage for wireless sensor networks, called Directed Coverage (DCoverage). Basically, D-Coverage is the coverage provided by a sensor n...
Changqing Xu, Xiaole Bai, Lei Ding, Jin Teng, Srir...