Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
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...
Abstract. This paper addresses the detection and reporting of abnormal building access with a wireless sensor network. A common office room, offering space for two working persons...
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...