The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
— This paper develops a hierarchical iterative OSNR algorithm based on a game theory framework. A Nash game is formulated between channels with channel utility related to maximiz...
In this paper we introduce the idea of snapshot queries for energy efficient data acquisition in sensor networks. Network nodes generate models of their surrounding environment th...
In this paper, we introduce a rotating interrogation technique for sensor networks called Whirlpool. Whirlpool provides opportunities to optimize data delivery in time-critical mo...
Divyasheel Sharma, Vladimir Zadorozhny, Panos K. C...